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Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT students ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.

Objev podobné jako Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning - Ginger Grant, Tamanaco Francisquez, Pau Sempere, Paco Gonzalez, Julio Granado

Prepare for the newest versions of Microsoft Exam 70-533â “and help demonstrate your real-world mastery of implementing Microsoft Azure Infrastructure as a Service (IaaS). Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design and implement Azure App Service Apps Create and manage compute resources, and implement containers Design and implement a storage strategy, including storage encryption Implement virtual networks, including new techniques for hybrid connections Design and deploy ARM Templates Manage Azure security and Recovery Services Manage Azure operations, including automation and data analysis Manage identities with Azure AD Connect Health, Azure AD Domain Services, and Azure AD single sign on This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are an IT professional with experience implementing and monitoring cloud and hybrid solutions and/or supporting application lifecycle management This book covers the 533 objectives as of December 2017. If there are updates for this book, you will find them at https://aka.ms/examref5332E/errata. About the Exam Exam 70-533 focuses on skills and knowledge for provisioning and managing services in Microsoft Azure, including: implementing infrastructure components such as virtual networks, virtual machines, containers, web and mobile apps, and storage; planning and managing Azure AD, and configuring Azure AD integration with on-premises Active Directory domains. About Microsoft Certification Passing this exam helps qualify you for MCSA: Cloud Platform Microsoft Certified Solutions Associate certification, demonstrating your expertise in applying Microsoft cloud technologies to reduce costs and deliver value. To earn this certification, you must also pass any one of the following exams: 70-532 Developing Microsoft Azure Solutions, or 70-534 Architecting Microsoft Azure Solutions, or 70-535, Architecting Microsoft Azure Solutions, or 70-537: Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack.

Objev podobné jako Exam Ref 70-533 Implementing Microsoft Azure Infrastructure Solutions - Ross Steve, Dan Patrick, Rick Rainey, Michael Washam

Prepare for Microsoft Exam 70-778â “and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Objev podobné jako Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI - Daniil Maslyuk

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Prepare for Microsoft Exam PL-300 and help demonstrate your real-world ability to deliver actionable insights with Power BI by leveraging available data and domain expertise; to provide meaningful business value through clear data visualizations; to enable others to perform self-service analytics, and to deploy and configure solutions for consumption. Designed for data analysts, business users, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power BI Data Analyst Associate level. Focus on the expertise measured by these objectives: Prepare the data Model the data Visualize and analyze the data Deploy and maintain assets This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a data analyst, business intelligence professional, report creator, or other professional seeking to validate your skills and knowledge in analyzing data with Power BI About the Exam Exam PL-300 focuses on knowledge needed to get data from different data sources; clean, transform, and load data; design and develop data models; create model calculations with DAX; optimize model performance; create reports and dashboards; enhance reports for usability and storytelling; identify patterns and trends; and manage files, datasets, and workspaces. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power BI Data Analyst Associate certification, demonstrating your understanding of data repositories and data processes, and your skills in designing and building scalable data models, cleaning and transforming data, enabling advanced analytic capabilities to provide meaningful business value, and collaborating with key stakeholders to deliver relevant insights based on identified business requirements. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref PL-300 Power BI Data Analyst - Daniil Maslyuk

Prepare for the updated version of Microsoft Exam AZ-900 and help demonstrate your real-world knowledge of cloud services and how they can be provided with Microsoft Azure, including high-level concepts that apply throughout Azure, and key concepts specific to individual services. Designed for professionals in both non-technical or technical roles, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Fundamentals level. Focus on the expertise measured by these objectives: Describe cloud concepts Describe Azure architecture and services Describe Azure management and governance This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you want to show foundational knowledge of cloud services and their delivery with Microsoft Azure About the Exam Exam AZ-900 focuses on knowledge needed to describe cloud computing; the benefits of using cloud services; cloud service types; core Azure architectural components; Azure compute, networking, and storage services; Azure identity, access, and security; Azure cost management; Azure features and tools for governance and compliance, and for managing and deploying resources; and Azure monitoring tools. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Fundamentals credential, validating your basic knowledge of cloud services and how those services are provided with Azure. Whether you re new to the fi eld or a seasoned professional, demonstrating this knowledge can help you jump-start your career and prepare you to dive deeper into the many technical opportunities Azure offers.

Objev podobné jako Exam Ref AZ-900 Microsoft Azure Fundamentals - Jim Cheshire

Prepare for Microsoft Exam AZ-700 and help demonstrate your real-world mastery of planning, implementing, and maintaining Azure networking solutions, including hybrid networking, connectivity, routing, security, and private access to Azure services. Designed for professionals with Azure networking experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Network Engineer Associate level. Focus on the expertise measured by these objectives: Design, implement, and manage hybrid networking Design and implement core networking infrastructure Design and implement routing Secure and monitor networks Design and implement private access to Azure services This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have expertise in planning, implementing, and maintaining Azure networking solutions About the Exam Exam AZ-700 focuses on knowledge needed to design, implement, and manage site-to-site and point-to-site VPN connections, and Azure ExpressRoute; design and implement virtual network private IP addressing, name resolution, cross-virtual network connectivity, and Azure Virtual WAN architectures; design and implement virtual network routing, Azure Load Balancer, Azure Application Gateway, Azure Front Door, and Azure Traffic Manager profiles; secure and monitor networks via Azure Firewall, network security groups (NSGs), Web Application Firewall (WAF), Azure Monitor, and other tools; design and implement Azure Private Link, Azure Private Endpoint, service endpoints, and virtual network integration for dedicated PaaS services. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Network Engineer Associate credential, demonstrating your expertise as a Network Engineer capable of recommending, planning, and implementing Azure networking solutions; managing them for performance, resiliency, scale, and security; deploying them via the Azure Portal and other methods; and working with architects, administrators, engineers, and developers to deliver Azure solutions. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref AZ-700 Designing and Implementing Microsoft Azure Networking Solutions - Charles Pluta

Prepare for Microsoft Exam AZ-300⠔and help demonstrate your real-world mastery of architecting high-value Microsoft Azure solutions for your organization or customers. Designed for modern IT professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level. Focus on the expertise measured by these objectives: Deploy and configure infrastructure Implement workloads and security Create and deploy apps Implement authentication and secure data Develop for the cloud and for Azure storage This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are an IT professional who wants to demonstrate your ability to design modern Microsoft Azure solutions involving compute, network, storage, and security About the Exam Exam AZ-300 focuses on knowledge needed to analyze resource usage; create and configure storage accounts and VMs; automate VM deployments and implement VM solutions; create and manage virtual networks; manage Azure AD and hybrid identities; migrate servers to Azure; configure serverless computing; implement app load balancing; integrate on-premises and virtual networks; manage RBAC; implement MFA; create web apps with PaaS; design and develop containerized apps; implement authentication and secure data solutions; build solutions with Cosmos DB or RDBMSes; configure message-based integration architecture; and develop for autoscaling. About Microsoft Certification Passing this exam and Exam AZ-301: Microsoft Azure Architect Design fulfills your requirements for the Microsoft Cer¿tified: Azure Solutions Architect Expert credential, demonstrating your expertise in compute, network, storage, and secu¿rity for designing modern cloud-based solutions that run on Microsoft Azure. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref AZ-300 Microsoft Azure Architect Technologies - Derek Schauland, Timothy Warner, Nicole Stevens, Mike Pfeiffer

Prepare for Microsoft Exam MD-102 and demonstrate your real-world mastery of the skills and knowledge required to deploy, manage, and protect modern endpoints at scale in Microsoft 365 environments. Designed for endpoint administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Deploy Windows client Manage identity and compliance Manage, maintain, and protect devices Manage applications This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience deploying, configuring, protecting, managing, and monitoring devices and client applications in a Microsoft 365 environment About the Exam Exam MD-102 focuses on the knowledge needed to prepare for Windows client deployments; plan and implement them with Windows Autopilot and the Microsoft Deployment Toolkit (MDT); confi gure remote management; manage identity; implement compliance policies for all supported device platforms with Microsoft Intune; manage device lifecycles, configurations, and updates with Intune; monitor devices; protect endpoints; deploy and update apps; and establish app protection and configuration policies. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Endpoint Administrator Associate credential, demonstrating your ability to deploy, configure, protect, manage, and monitor devices and client apps in Microsoft 365 environments; manage endpoint identity, security, access, policies, updates, and apps; efficiently deploy and administer diverse endpoints at scale, and collaborate on modern workplace strategies that address organizational needs. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref MD-102 Microsoft Endpoint Administrator - Andrew Bettany, Andrew Warren

Prepare for the updated version of Microsoft Exam MD-100â ”and help demonstrate your real-world mastery of skills and knowledge required to deploy, configure, and maintain Windows 10 devices and technologies in an enterprise environment. Designed for Windows Administrators, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: â ¢ Deploy Windows â ¢ Manage devices and data â ¢ Configure storage and connectivity â ¢ Maintain Windows This Microsoft Exam Ref: â ¢ Organizes its coverage by exam objectives â ¢ Features strategic, what-if scenarios to challenge you â ¢ Assumes you have experience administering Windows 10 and non-Windows devices and technologies About the Exam Exam MD-100 focuses on knowledge needed to install Windows 10; perform post-installation configuration; manage users, groups, and devices; configure devices with local policies; manage Windows security; configure networking; configure data access and protection; configure system and data recovery; manage updates; monitor and manage Windows; and configure remote connectivity. About Microsoft Certification Passing this exam and Exam MD-101: Managing Modern Desktops fulfills your requirements for the Microsoft 365 Certified: Modern Desktop Administrator Associate certification credential, demonstrating your ability to deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref MD-100 Windows 10 - Andrew Bettany, Andrew Warren

Prepare for Microsoft Exam MS-900 and help demonstrate your mastery of cloud services, the Software as a Service cloud model, and the options and benefits of Microsoft 365 cloud service offerings. Designed for IT professionals, Exam Ref focuses on critical thinking and decision-making acumen needed for success at the Microsoft Certified Fundamentals level. Focus on the expertise measured by these objectives: Describe cloud concepts Describe Microsoft 365 apps and services Describe security, compliance, privacy, and trust in Microsoft 365 Describe Microsoft 365 pricing, licensing, and support This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, IT professional, or student interested in cloud computing and technologies, including individuals planning to pursue more advanced Microsoft 365 certification. About the ExamExam MS-900 focuses on using cloud services; different types of cloud services; core Microsoft 365components; comparisons between Microsoft 365 and on-premises services; modern management concepts; Microsoft 365 collaboration, mobility and analytics; Microsoft 365 security and compliance concepts; unified endpoint management; security usage scenarios and services; the Service Trust portal and Compliance Manager; Microsoft 365 licensing options; pricing; support; and service lifecycles. About Microsoft CertificationPassing this exam fulfills your requirements for the Microsoft 365 Certified Fundamentals certification credential, proving that you understand Microsoft 365 options, as well as the benefits of adopting cloud services, the Software as a Service (SaaS) cloud model, and Microsoft 365 cloud services in particular. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref MS-900 Microsoft 365 Fundamentals - Craig Zacker

Prepare for the updated version of Microsoft Exam MS-100â ” and help demonstrate your real-world mastery of skills and knowledge needed to effectively design, deploy, manage, and secure Microsoft 365 services. Designed for experienced IT professionals, Exam Ref focuses on critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level. Focus on the expertise measured by these objectives: â ¢ Design and implement Microsoft 365 services â ¢ Manage user identity and roles â ¢ Manage access and authentication â ¢ Plan Office 365 workloads and applications This Microsoft Exam Ref: â ¢ Organizes its coverage by exam objectives â ¢ Features strategic, what-if scenarios to challenge you â ¢ Assumes you have working knowledge of Microsoft 365 workloads, networking, server administration, and IT fundamentals; and have administered at least one Exchange, SharePoint, Teams, or Windows deployment About the Exam Exam MS-100 focuses on knowledge needed to plan architecture; deploy a Microsoft 365 tenant; manage Microsoft 365 subscription and tenant health; plan migration of users and data; design identity strategy; plan identity synchronization; manage identity synchronization with Azure Active Directory (Azure AD); manage Azure AD identities and roles; manage authentication; plan and implement secure access; configure application access; plan to deploy Microsoft 365 Apps and messaging; plan for Microsoft SharePoint Online, OneDrive for Business, and Teams infrastructure; and plan Microsoft Power Platform integration. About Microsoft Certification The Microsoft 365 Certified: Enterprise Administrator Expert certification credential demonstrates your ability to evaluate, plan, migrate, deploy, and manage Microsoft 365 services. To fulfill your requirements, pass this exam and Exam MS-101: Microsoft 365 Mobility and Security, and earn one of these five prerequisite certifications: Modern Desktop Administrator Associate, Security Administrator Associate, Messaging Administrator Associate, Teams Administrator Associate, or Identity and Access Administrator Associate. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref MS-100 Microsoft 365 Identity and Services - Orin Thomas

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Objev podobné jako Machine Learning with Neural Networks - Bernhard Mehlig

Prepare for Microsoft Exam MD-102 and help demonstrate your real-world mastery of the skills and knowledge required to deploy, manage, and protect modern endpoints at scale in Microsoft 365 environments. Designed for endpoint administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Prepare infrastructure for devices Manage and maintain devices Manage applications Protect devices This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with Microsoft Entra ID and Microsoft 365 technologies, including Intune, as well as strong skills and experience in deploying, configuring, and maintaining Windows client and non-Windows devices About the Exam Exam MD-102 focuses on the knowledge needed to prepare infrastructure for devices; enroll devices to Microsoft Intune; implement identity and compliance; deploy and upgrade Windows clients by using cloud-based tools; plan and implement device configuration profiles; plan remote actions on devices; manage applications; deploy and update apps; plan and implement app protection and app configuration policies; configure endpoint security; and manage device updates by using Intune. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Endpoint Administrator Associate credential, demonstrating your ability to implementing solutions for efficient deployment and management of endpoints on various operating systems, platforms, and device types; implement and manage endpoints at scale by using Microsoft Intune, Microsoft Intune Suite, Windows Autopilot, Microsoft Copilot for Security, Microsoft Defender for Endpoint, Microsoft Entra ID, Azure Virtual Desktop, and Windows 365; and implement identity, security, access, policies, updates, and apps for endpoints. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref MD-102 Microsoft Endpoint Administrator - Andrew Bettany, Andrew Warren

Prepare for Microsoft Exam AZ-800 and demonstrate your real-world mastery of designing, implementing, and managing Windows Server core infrastructure in a hybrid cloud environment. Designed for professionals with Windows Server experience in on-premises, hybrid, and Azure environments, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Windows Server Hybrid Administrator Associate level. Focus on the expertise measured by these objectives: Deploy and manage Active Directory Domain Services (AD DS) in on-premises and cloud environments Manage Windows Servers and workloads in a hybrid environment Manage virtual machines and containers Implement and manage an on-premises and hybrid networking infrastructure Manage storage and file services This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have expertise in configuring and administering Windows Server workloads and services using on-premises, hybrid, and cloud technologies About the Exam Exam AZ-800 focuses on knowledge needed to deploy and manage AD DS domain controllers; configure and manage multi-site, multi-domain, and multi-forest environments; create and manage AD DS security principals; implement and manage hybrid identities; manage Windows Server via domain group policies and in hybrid environments; manage Windows Servers and workloads via Azure services; manage Hyper-V, guest VMs, and Azure VMs running Windows Server; create and manage containers; implement on-premises and hybrid name resolution; manage IP addressing and implement network connectivity; configure and manage Azure File Sync and Windows Server fi le shares; and configure Windows Server storage. About Microsoft Certification Passing this exam and Exam AZ-801 (Configuring Windows Server Hybrid Advanced Services) fulfills your requirements for the Microsoft Certified: Windows Server Hybrid Administrator Associate credential. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref AZ-800 Administering Windows Server Hybrid Core Infrastructure - Orin Thomas

Prepare for Microsoft Exam AZ-801 and demonstrate your real-world mastery of configuring and managing Windows Server on-premises, hybrid, and Infrastructure as a Service (IaaS) platform workloads. Designed for professionals with Windows Server and Azure experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Windows Server Hybrid Administrator Associate level. Focus on the expertise measured by these objectives: Secure Windows Server on-premises and hybrid infrastructures Implement and manage Windows Server high availability Implement disaster recovery Migrate servers and workloads Monitor and troubleshoot Windows Server environments This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have significant experience with Windows Server operating systems About the Exam Exam AZ-801 focuses on knowledge needed to secure Windows Server operating systems, networking, and storage; secure hybrid Active Directory infrastructures; use Azure Services to identify and remediate Windows Server security issues; implement and manage Windows Server failover clusters and Storage Spaces Direct; manage Windows Server backup and recovery; use Azure Site Recovery to implement disaster recovery; protect VMs with Hyper-V replicas; migrate on-premises storage and services; move workloads and AD DS infrastructure to Windows Server 2022 from previous versions; migrate IIS workloads to Azure; use Windows Server tools and Azure services to monitor Windows Server; troubleshoot on-premises networking, hybrid networking, virtual machines in Azure, and Active Directory. About Microsoft Certification Passing this exam and Exam AZ-800 Administering Windows Server Hybrid Core Infrastructure fulfills your requirements for the Microsoft Certified: Windows Server Hybrid Administrator Associate credential. This demonstrates your expertise in configuring and managing Windows Server on-premises, hybrid, and IaaS platform workloads; integrating Windows Server environments with Azure services; managing and maintaining Windows Server IaaS workloads in Azure, and moving workloads to Azure. This certification supports your goals as an IT, cloud, identity/access, or information protection administrator; a network, security, or support engineer, and a technology manager. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref AZ-801 Configuring Windows Server Hybrid Advanced Services - Orin Thomas

Prepare for Microsoft Exam SC-200â ”and help demonstrate your real-world mastery of skills and knowledge required to work with stakeholders to secure IT systems, and to rapidly remediate active attacks. Designed for Windows administrators, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Mitigate threats using Microsoft 365 Defender Mitigate threats using Microsoft Defender for Cloud Mitigate threats using Microsoft Sentinel This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with threat management, monitoring, and/or response in Microsoft 365 environments About the Exam Exam SC-200 focuses on knowledge needed to detect, investigate, respond, and remediate threats to productivity, endpoints, identity, and applications; design and configure Azure Defender implementations; plan and use data connectors to ingest data sources into Azure Defender and Azure Sentinel; manage Azure Defender alert rules; configure automation and remediation; investigate alerts and incidents; design and configure Azure Sentinel workspaces; manage Azure Sentinel rules and incidents; configure SOAR in Azure Sentinel; use workbooks to analyze and interpret data; and hunt for threats in the Azure Sentinel portal. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Security Operations Analyst Associate certification credential, demonstrating your ability to collaborate with organizational stakeholders to reduce organizational risk, advise on threat protection improvements, and address violations of organizational policies. See full details at: microsoft.com/learn

Objev podobné jako Exam Ref SC-200 Microsoft Security Operations Analyst - Sarah Young, Yuri Diogenes, Jake Mowrer

It s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you⠙re grokking as you go. You⠙ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

Prepare for Microsoft Exam MS-500: Demonstrate your real-world knowledge of Microsoft 365 security implementation and administration, including identity, access, threat and information protection, governance, and compliance. Designed for professionals with Microsoft security experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft 365 Certified:Security Administrator Associate level. Focus on the expertise measured by these objectives: Implement and manage identity and access Implement and manage threat protection Implement and manage information protection Manage governance and compliance features in Microsoft 365 This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have expertise implementing and administering security in a Microsoft 365 environment

Objev podobné jako Exam Ref MS-500 Microsoft 365 Security Administration - Ed Fisher, Nate Chamberlain

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor s Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and WekaUnderstand decision trees, Bayesian networks, and artificial neural networksImplement Association Rule, Real Time, and Batch learningDevelop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

Objev podobné jako Machine Learning - Jason Bell

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Objev podobné jako Introduction to Machine Learning with Python - Andreas C. Mueller

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning⠔also known as data mining or predictive analytics⠔is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar

This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.

Objev podobné jako Introduction to Machine Learning with Applications in Information Security - Mark Stamp

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you ll find machine learningâ ”the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you ll dive into the tools, code, and math that make machine learning goâ ”and you ll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can t doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

Objev podobné jako Machine Learning For Dummies - John Paul Mueller, Luca Massaron

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning â ”also known as data mining or data analyticsâ ” is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

MACHINE LEARNING FOR BUSINESS ANALYTICS An up-to-date introduction to a market-leading platform for data analysis and machine learning Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. offers an accessible and engaging introduction to machine learning. It provides concrete examples and case studies to educate new users and deepen existing usersâ ™ understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. readers will also find: Updated material which improves the bookâ ™s usefulness as a reference for professionals beyond the classroomFour new chapters, covering topics including Text Mining and Responsible Data ScienceAn updated companion website with data sets and other instructor resources: www.jmp.com/dataminingbookA guide to JMP Pro s new features and enhanced functionality Machine Learning for Business Analytics: Concepts, Techniques, and Applications with JMP Pro, 2nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

Objev podobné jako Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Muralidhara Anandamurthy, Mia L. Stephens

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book s web site.

Objev podobné jako Mathematics for Machine Learning - A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

Objev podobné jako Machine Learning Refined - Aggelos K. Katsaggelos, Reza Borhani, Jeremy Watt

Written by more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets, and explores connections with data science and more traditional approaches. This is an invaluable resource for researchers and graduate students in financial engineering, as well as practitioners in the sector.

Objev podobné jako Machine Learning and Data Sciences for Financial Markets

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You ll learn how to import, transform, and visualize your data and communicate the results. And you ll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you ve learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You ll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

Objev podobné jako R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text s vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you ll explore tools, then learn from various organizations experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager. The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today s analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and ⠜data for good.⠝

Objev podobné jako Business Intelligence, Analytics, Data Science, and AI, Global Edition - Dursun Delen, Ramesh Sharda, Efraim Turban

Data science and machine learningâ ”two of the world s hottest fieldsâ ”are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and moreâ ”all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

Objev podobné jako Graph-Powered Analytics and Machine Learning with TigerGraph - Ph.D., Victor Lee, Xinyu Chang, Phuc Kien Nguyen

Learn all about states of matter with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo is getting ready for his birthday this weekend. There s lots to do: filling balloons, making icy drinks (and clearing up spills) and baking a cake - it s a perfect time for Mo to find out about changing states of matter!If a monster can understand science, anyone can! Join Mo the Monster as he discovers the basic principles of science. Along the way, Mo is kept focused (monsters are notoriously easily distracted) with the help of simple, clearly presented information, plenty of questions to answer and lots of science puzzles and activities.The funny, colourful illustrations offer lots of scope for humour and interest to keep children engaged while they learn. Aimed at readers aged 5+.Titles in the series: Energy/Forces and Magnets/Habitats/The Human Body/Life Cycles/Light and Shadows/Machines/Materials/States of Matter/Plants/The Seasons/TimeStates of matter contentsMo gets wet feet / Solid, liquid or gas? / Material properties / Gas-filled balloons / Liquidbehaviour / Absorbent materials / Melting point / Drying out / Present materials /Dozy s liquid-to-solid footprints / Chilli mixing / Trouble with melting / Condensation andcake / Glossary / Books to read and Places to visit / Answers

Objev podobné jako Learn Science with Mo: States of Matter - Paul Mason

Learn all about the science of machines with Mo the Monster and his friends in this fun first science book for children aged 5+.Mo and his friends want to build a clubhouse but they have a lot to learn about forces and how machines work before it will be ready. The gang soon discover levers and wedges, pulleys, wheels, screws and much more. If a monster can understand science, anyone can! Join Mo the Monster as he discovers the basic principles of science. Along the way, Mo is kept focused (monsters are notoriously easily distracted) with the help of simple, clearly presented information, plenty of questions to answer and lots of science puzzles and activities.The funny, colourful illustrations offer lots of scope for humour and interest to keep children engaged while they learn. Aimed at readers aged 5+.Titles in the series: Energy/Forces and Magnets/Habitats/The Human Body/Life Cycles/Light and Shadows/Machines/Materials/States of Matter/Plants/The Seasons/TimeContentsMo s clubhouse Machines and forces Clubhouse plans Transporting materials Levering rocks Measuring and cutting Screwing together the frame Lily gets in gear! Planks and pulleys Different kinds of lever Rescuing Rory! Walls and windows Monster marshmallowsGlossaryBooks to read and places to visitAnswers

Objev podobné jako Learn Science with Mo: Machines - Paul Mason

Learn all about time with Mo the Monster and his friends in this fun first science book for children aged 5+.When Mo is late for a football match he knows it really is time to learn about time! Through the course of a year with Monster FC he is going to learn about minutes, hours, days, seasons, how monsters (and humans) change with time and much more! But can Mo stay out of trouble while he s having so much fun? Don t count on it!If a monster can understand science, anyone can! Join Mo the Monster as he discovers the basic principles of science. Along the way, Mo is kept focused (monsters are notoriously easily distracted) with the help of simple, clearly presented information, plenty of questions to answer and lots of science puzzles and activities.The funny, colourful illustrations offer lots of scope for humour and interest to keep children engaged while they learn. Aimed at readers aged 5+.Titles in the series: Energy/Forces and Magnets/Habitats/The Human Body/Life Cycles/Light and Shadows/Machines/Materials/States of Matter/Plants/The Seasons/TimeContentsMo misses practice! Dividing the year Dividing days Animals and time Growing Mo More minutes in every match Time and speed Getting old Football in winter A date in the calendar Days getting longer Counting the seconds The football season ends GlossaryBooks to read and Places to visit Answers

Objev podobné jako Learn Science with Mo: Time - Paul Mason

Andrew Dickson White, a founding member of Cornell University, released A History of the Warfare of Science with Theology in Christendom in two volumes in 1896. The original purpose of White s 1874 lecture on The Battlefields of Science is stated in the introduction. White expanded on this idea in a book titled The Warfare of Science that same year. He traces the growing separation of science from theology in numerous domains in these books. According to science historian Lawrence M. Principe, No credible historians of science now continue to support the warfare thesis... The foundations of the warfare thesis may be found in the writings of two persons, John William Draper and Andrew Dickson White, from the late 19th century. Scientists have known for years that White and Draper s claims are more propaganda than history, according to science historian and atheist Ronald Numbers, who wrote in a collection about errors committed by White and others. The battle paradigm was based on a terrible oversimplification that required all facets of the history of science and religion to fit into one ill-chosen conceptual box. As a result, many scholars ignored the vast amount of historical information that simply didn t fit into that box.

Objev podobné jako A History of the Warfare of Science with Theology in Christendom - Andrew Dickson White

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Objev podobné jako Causal Inference for Data Science - Aleix de Villa

A Le Creuset 12 cm széles, kék (AZURE) színű silikon fazékfogó készlet 2 darabból áll. A magas hőálló anyag 250°C-ig biztonságos fogást nyújt forró edényekhez. A készlet mosogatógépben mosható, és kiválóan harmonizál a márka litányedényeivel.

• Kiváló minőségű, 250°C-ig hőálló silikon anyag
• Biztonságos, csúszásgátló felület nedvesség és zsír esetén is
• Könnyű tisztítás, mosogatógépben is mosható
• Ergonomikus kialakítás, kényelmes és biztonságos fogás

Objev podobné jako Chňapka na hrnec 12 cm, sada 2 ks, AZURE, silikon, Le Creuset

A Le Creuset CLASSIC 21 cm Azure borsómalom műanyag testtel és kerámia malommechanikával rendelkezik. Az állítható őrlési fokozat lehetővé teszi a finom vagy durvább őrlés beállítását a különböző ételekhez. A robusztus kivitelezés és az ergonómikus design hosszú élettartamot és kényelmes használatot biztosít.

• Teljesen állítható kerámia malommechanika finom vagy durvább őrléshez
• Robusztus ABS műanyag konstrukció ütésállósággal és hosszú élettartammal
• Ergonómikus design, amely kényelmes kezelést és hatékony működést biztosít
• Magas törzs, amely nagy mennyiségű borsó tárolását teszi lehetővé

Objev podobné jako Mlýnek na pepř CLASSIC 21 cm, AZURE, plast, Le Creuset

A Le Creuset Signature 470 ml-es Azure kék kőedény tároló fa fedéllel ellátva. Hermetikusan zár, ideális kávé, tea, cukor és liszt tárolására. Mosogatógépben mosható, 10 év gyártási garanciával rendelkezik.

• Hermetikusan záró fa fedél szilikontömítéssel
• Könnyen tisztítható, nem porózus, zománcozott felület
• 10 év gyártási garancia
• Mosogatógépben mosható

Objev podobné jako Dóza na potraviny SIGNATURE 470 ml, AZURE, kamenina, Le Creuset

A Le Creuset Signature 770 ml-es kőedény tároló az Azure színben elegáns és funkcionális konyhai kiegészítő. Akáciafa fedele hermetikus zárást biztosít, ideális kávához, teához, liszthez és száraz élelmiszerekhez. Glazúrozott felülete könnyen tisztítható, kőedény anyaga pedig hosszabb ideig tartósítja az élelmiszerek frissességét.

• Hermetikusan záró akáciafa fedél szilikontömítéssel
• Könnyen tisztítható, nem párolgó, glazúrozott felület
• Kiváló hőszigetelés, egyenletes hőmérséklet-tartás
• 10 év gyártási garancia, mosogatógép biztonságos

Objev podobné jako Dóza na potraviny SIGNATURE 770 ml, AZURE, kamenina, Le Creuset

A 10 cm átmérőjű, 250 ml-es Le Creuset kőedény sütőedény ideális egyedi adagok elkészítéséhez és tálalásához. Az edény -23 °C-tól +260 °C-ig hőálló, biztonságos sütőben, mikróban, mosogatógépben és mélyhűtőben. A minőségi kőedény anyag egyenletes hőelosztást biztosít, és könnyen tisztítható.

• Kiváló hőelosztású, tartós kőedény anyag
• Többfunkciós: sütő, mikró, mosogatógép biztonságos
• Elegáns Azure kék szín, stílusos tálalásra
• 10 év gyártási garancia

Objev podobné jako Zapékací mísa 10 cm, 250 ml, AZURE, kamenina, Le Creuset

A Le Creuset Azure kék, kőedény sütőálló tálak 4 db-os szettje 10 cm átmérőjű és 250 ml térfogatú. A tálak sütőállók 260 °C-ig, mikró- és mosogatógépbiztosak, ideálisak egyedi adagok sütésére és tálalására. A prémium kőedény anyag egyenletes hőelosztást biztosít, és a termék 10 év gyártási garanciával rendelkezik.

• 4 db-os szett, ideális egyedi adagokhoz és tálaláshoz
• 260 °C-ig sütőálló, mikró- és mosogatógépbiztos
• prémium kőedény anyag, egyenletes hőelosztással
• 10 év gyártási garancia

Objev podobné jako Zapékací mísa 10 cm, 250 ml, sada 4 ks, AZURE, kamenina, Le Creuset

A Le Creuset Signature 600 ml-es kőedény olajadagoló Azure színben készült. A glazúrázott kőedény anyaga karcálló, nem porózus és mosogatógépbe tehető. A termék 10 év gyártási garanciával rendelkezik, és elegáns kialakítása alkalmas asztali és konyhai használatra egyaránt.

• Glazúrázott kőedény karcálló és könnyen tisztítható felülettel
• Nem porózus anyag megőrzi az olaj frissességét és ízét
• Mosogatógépbe tehető kialakítás egyszerű karbantartással
• 10 év gyártási garancia hosszú távú megbízhatóságot biztosít

Objev podobné jako Dávkovač oleje SIGNATURE 600 ml, AZURE, kamenina, Le Creuset

A Le Creuset Classic 21 cm kézi sómalom Azure színben műanyag testtel készül. Kerámia őrlő mechanizmussal rendelkezik, amely állítható finomságú és korrózióálló. A robusztus kivitel és kényelmes használat mindennapi konyhai felhasználásra tervezték.

• Állítható kerámia őrlő mechanizmus korrózióálló a nedves sóval szemben
• Robusztus ABS műanyag kivitel hosszú élettartam és mindennapi ellenálló képesség érdekében
• Elegáns Azure szín és letisztult formatervezés, amely minden konyhába illik
• Könnyű újratöltés és egyszerű finomsági fokozat beállítás a felső acélfejjel

Objev podobné jako Mlýnek na sůl CLASSIC 21 cm, AZURE, plast, Le Creuset

A Le Creuset Azure színű konyhai eszköz készlet 4 darabból áll: három merőkanál/spatula és egy kenőeszköz, amelyek kerámia tárolóállványban kerülnek szállításra. A szilikon fejek hőállóak, nem karcolják az edényeket, és mosogatógépben tisztíthatók. A fa nyelvek kényelmes fogást biztosítanak, a készlet prémium minőségű ajándékként is alkalmas.

• 4 db prémium konyhai eszköz kerámia tárolóállvánnyal
• hőálló szilikon fejek (-23°C-tól +260°C-ig)
• fa nyelvek kényelmes fogáshoz és elegáns megjelenéshez
• mosogatógép biztonságos eltávolítható szilikon részek

Objev podobné jako Kuchyňské náčiní, sada 4 ks, se stojanem, AZURE, Le Creuset

A Le Creuset Azure színű, 400 ml-es kávéscsészéje prémium minőségű kőedényből készült. Tűzálló -20 °C-tól +260 °C-ig, így biztonságosan használható sütőben, mikrohullámú sütőben és mosogatógépben is. A termék 10 év garanciával rendelkezik a gyártási hibákra.

• Kiváló minőségű kőedényből készült, magas hőmérsékleten égetve tartósságért.
• Tűzálló -20 °C-tól +260 °C-ig, használható sütőben, mikrohullámú sütőben és mosogatógépben.
• Egyenletes hőeloszlás biztosítja az ideális hőmérsékletet az italoknak.
• 10 év garancia a gyártási hibákra normál háztartási használat mellett.

Objev podobné jako Hrnek na cappuccino 400 ml, AZURE, kamenina, Le Creuset

A Le Creuset 28 cm átmérőjű, Azure kék kőedény tortaforma ideális különféle sütemények, például gyümölcstorták, quiche-k és tészták készítéséhez. A kiváló minőségű kőedény biztosítja az egyenletes hőelosztást, megakadályozza az égetést, és hosszabb ideig melegen tartja az ételt. A forma hőálló, könnyen tisztítható, és tartós kivitelezése 10 év garanciával is jár.

• 28 cm átmérőjű, kiváló minőségű kőedény, amely garantálja az egyenletes hőelosztást és a tökéletes sütési eredményt.
• Elegáns, hullámos széle professzionális megjelenést kölcsönöz a süteményeknek, ideális tálaláshoz.
• Tartós zománcozás védi a formát, könnyű tisztítású, hőálló -23 °C-tól +260 °C-ig, mikró- és mosogatógép biztonságos.
• Az Azure kék szín és az ikonikus Le Creuset design francia eleganciát visz a konyhába, mindennapi és ünnepi alkalmakra egyaránt.

Objev podobné jako Forma na koláč 28 cm, AZURE, kamenina, Le Creuset