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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 Microsoft Exam 70-740—and help demonstrate your real-world mastery of Windows Server 2016 installation, storage, and compute features and capabilities. 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: •Install Windows Servers in host and compute environments •Implement storage solutions •Implement Hyper-V •Implement Windows containers •Implement high availability •Maintain and monitor server environments This Microsoft Exam Ref: •Organizes its coverage by exam objectives •Features strategic, what-if scenarios to challenge you •Assumes you have experience working with Windows Server in an enterprise environment; are familiar with core networking infrastructure, topologies, architectures, and protocols; and have experience with Windows clients and virtualization About the Exam Exam 70-740 focuses on the skills and knowledge necessary to implement and configure storage and compute features and functionality in Windows Server 2016. About Microsoft Certification Passing this exam earns you credit toward a Microsoft Certified Solutions Associate (MCSA) certification that demonstrates your mastery of core Windows Server 2016 skills for reducing IT costs and delivering more business value. Exam 70-741 (Networking with Windows Server 2016) and Exam 70-742 (Identity with ... Unknown localization key: "more"

Objev podobné jako Exam Ref 70-740 Installation, Storage and Compute with Windows Server 2016 - Craig Zacker

Prepare for the newest versions of Microsoft Exam 70-533–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 ... Unknown localization key: "more"

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

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Prepare for Microsoft Exam 70-767–and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: • Design, and implement, and maintain a data warehouse • Extract, transform, and load data • Build data quality solutionsThis Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of relational database technology and incremental database extraction, as well as experience with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and managing a SQL data warehouse. Implementing a SQL Data Warehouse About the Exam Exam 70-767 focuses on skills and knowledge ... Unknown localization key: "more"

Objev podobné jako Exam Ref 70-767 Implementing a SQL Data Warehouse - Jose Chinchilla, Raj Uchhana

Prepare for Microsoft Exam 70-778–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

Prepare for Microsoft Exam 70-480—and help demonstrate your real-world mastery of programming with HTML5, JavaScript, and CSS3. Designed for experienced developers ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the Microsoft Specialist level. Focus on the expertise measured by these objectives: Implement and manipulate document structures and objects Implement program flow Access and secure data Use CSS3 in applications This Microsoft Exam Ref: Organizes its coverage by exam objectives. Features strategic, what-if scenarios to challenge you.

Objev podobné jako Exam Ref 70-480 Programming in HTML5 with JavaScript and CSS3 (MCSD) - Rick Delorme

About the Book: Prepare for Microsoft Exam 70-743—and demonstrate that your skills are upgraded for Windows Server 2016. Designed for experienced IT pros ready to advance their status, this Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSA level. Focus on the skills measured on the exam: • Install Windows servers in host and compute environments • Implement storage solutions • Implement Hyper-V • Implement Windows containers• Implement high availability• Implement Domain Name System (DNS)• Implement IP Address Management (IPAM)• Implement network connectivity and remote access solutions• Implement an advanced network infrastructure• Install and configure Active Directory Domain Services (AD DS)• Implement identity federation and access solutions This Microsoft Exam Ref: • Organizes its coverage by the “Skills measured” posted on the exam webpage • Features strategic, what-if scenarios to challenge you • Points to in-depth material by topic for exam candidates needing additional review • Assumes you are an IT pro looking to validate your skills in and knowledge of installing and configuring Windows Server 2016

Objev podobné jako Exam Ref 70-743 Upgrading Your Skills to MCSA - Charles Pluta

Prepare for Microsoft Exam 70-764—and help demonstrate your real-world mastery of skills for database administration. This exam is intended for database administrators charged with installation, maintenance, and configuration tasks. Their responsibilities also include setting up database systems, making sure those systems operate efficiently, and regularly storing, backing up, and securing data from unauthorized access. Focus on the expertise measured by these objectives: • Configure data access and auditing • Manage backup and restore of databases • Manage and monitor SQL Server instances • Manage high availability and disaster recovery This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of database installation, configuration, and maintenance tasks. You should also have experience with setting up database systems, ensuring those systems operate efficiently, regularly storing and backing up data, and securing data from unauthorized access. About the Exam Exam 70-764 focuses on skills and knowledge required for database administration. About Microsoft Certification Passing both Exam 70-764 and Exam 70-765 (Provisioning SQL Databases) earns you credit toward an MCSA: SQL 2016 Database Administration certification. See full details at: microsoft.com/learning

Objev podobné jako Exam Ref 70-764 Administering a SQL Database Infrastructure - Victor Isakov

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

Objev podobné jako Foundations of Data Science with Python - John M. Shea

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Objev podobné jako Modern Data Science with R - Benjamin S. Baumer, Nicholas J. Horton, Daniel T. Kaplan

Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science tool Python. The book includes many examples of real-life applications, with practice ranging from small to big data.

Objev podobné jako A Hands-On Introduction to Data Science with Python - Chirag Shah

Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.

Objev podobné jako Linear Algebra for Data Science with Python - John M. Shea

Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.

Objev podobné jako Statistical Analytics for Health Data Science with SAS and R Set - Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

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), ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

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

Prepare for Microsoft Exam AZ-104 and demonstrate your real-world mastery and knowledge of Microsoft Azure administration. Designed for working Azure administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Solutions Associate level. Focus on the expertise measured by these objectives: Manage Azure identities and governanceImplement and manage storageDeploy and manage Azure compute resourcesImplement and manage virtual networkingMonitor and maintain Azure resources This Microsoft Exam Ref: Organizes its coverage by the Skills Measured list published for the examFeatures strategic, what-if scenarios to challenge youAssumes you want to validate and demonstrate your command of managing Microsoft Azure cloud environments About the Exam Exam AZ-104 focuses on knowledge needed to manage Microsoft Entra ID, RBAC, subscriptions, and governance; manage storage accounts and Azure Storage data; configure Azure files and blob storage; configure VMs for high availability and scalability; automate VM deployment and configuration; create and configure VMs, containers, and Web Apps; implement, manage, secure, monitor, and troubleshoot virtual networking; configure name resolution and load balancing; integrate on-premises networks; monitor resources with Azure Monitor; implement backup and recovery. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Administrator Associate ... Unknown localization key: "more"

Objev podobné jako Exam Ref AZ-104 Microsoft Azure Administrator - Charles Pluta

Prepare for Microsoft Exam AZ-500: Demonstrate your real-world knowledge of Microsoft Azure security, including tools and techniques for protecting identity, access, platforms, data, and applications, and for effectively managing security operations. Designed for professionals with Azure security experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Security Engineer Associate level. Focus on the expertise measured by these objectives: Manage identity and access Implement platform protection Manage security operations Secure data and applications This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have expertise implementing security controls and threat protection, managing identity and access, and protecting assets in cloud and hybrid environments About the Exam Exam AZ-500 focuses on the knowledge needed to manage Azure Active Directory identities; configure secure access with Azure AD; manage application access and access control; implement advanced network security; configure advanced security for compute; monitor security with Azure Monitor, Azure Firewall manager, Azure Security Center, Azure Defender, and Azure Sentinel; configure security policies; configure security for storage and databases; and configure and manage Key Vault. About Microsoft Certification Passing this exam fulfills your requirements for ... Unknown localization key: "more"

Objev podobné jako Exam Ref AZ-500 Microsoft Azure Security Technologies, 2/e - Orin Thomas, Yuri Diogenes

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: Data Science Fundamentals that provide you with an overview of core concepts, laying the ... Unknown localization key: "more"

Objev podobné jako Applied Machine Learning for Data Science Practitioners - Vidya Subramanian

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

Objev podobné jako Data Science and Machine Learning for Non-Programmers - Dothang Truong

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 ... Unknown localization key: "more"

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

Prepare for the updated version of Microsoft Exam MD-100—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: • Deploy Windows • Manage devices and data • Configure storage and connectivity • Maintain Windows This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • 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 ... Unknown localization key: "more"

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

Prepare for the updated version of Microsoft Exam MS-100— 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: • Design and implement Microsoft 365 services • Manage user identity and roles • Manage access and authentication • Plan Office 365 workloads and applications This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • 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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

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

Prepare for Microsoft Exam SC-200—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 ... Unknown localization key: "more"

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

Prepare for Microsoft Exam MS-101—and demonstrate your real-world mastery of skills and knowledge needed to implement modern Microsoft 365 device services, security, and threat management; and to manage Microsoft 365 governance and compliance. Designed for experienced IT professionals, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft 365 Certified: Enterprise Administrator Expert level. Focus on the expertise measured by these objectives: Implement modern device services Implement Microsoft 365 security and threat management Manage Microsoft 365 governance and compliance This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a Microsoft 365 Enterprise Administrator who participates in evaluating, planning, migrating, deploying, and managing Microsoft 365 services About the Exam Exam MS-101 focuses on knowledge needed to plan device management; manage device compliance; plan for apps; plan Windows 10 deployment; enroll devices; manage security reports and alerts; plan and implement threat protection with Microsoft Defender; plan Microsoft Cloud App security; plan for compliance requirements; manage information governance; implement Information protection; plan and implement data loss prevention (DLP); and manage search and investigation. About Microsoft Certification Passing this exam and Exam MS-100: Microsoft 365 Identity and ... Unknown localization key: "more"

Objev podobné jako Exam Ref MS-101 Microsoft 365 Mobility and Security - Charles Pluta, Brian Svidergol, Robert Clements

Prepare for Microsoft Exam MD-101—and help demonstrate your real-world mastery of skills and knowledge required to manage modern Windows 10 desktops. 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: • Deploy and upgrade operating systems • Manage policies and profiles • Manage and protect devices • Manage apps and data This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have experience deploying, configuring, securing, managing, and monitoring devices and client applications in an enterprise environment About the Exam Exam MD-101 focuses on knowledge needed to plan a Windows 10 deployment; plan and implement Windows 10 with Windows Autopilot and MDT; manage accounts, VPN connections, and certificates; implement device compliance policies; configure device profiles; manage user profiles; implement and manage device, application, and threat protection; manage Intune devices; monitor devices; manage updates; deploy/update applications; and implement Mobile Application Management (MAM). About Microsoft Certification Passing this exam and Exam MD-100: Windows 10 fulfills your requirements for the Microsoft 365 Certified: Modern Desktop Administrator Associate certification credential, ... Unknown localization key: "more"

Objev podobné jako Exam Ref MD-101 Managing Modern Desktops - Andrew Bettany, Andrew Warren

Prepare for Microsoft Exam SC-100 and demonstrate your real-world mastery of skills and knowledge needed to design and evolve cybersecurity strategy for all aspects of enterprise architecture. Designed for experienced IT professionals, this Exam Ref focuses on critical thinking and decision-making acumen needed for success at the Microsoft Certfied: Cybersecurity Architect Expert level. Focus on the expertise measured by these objectives: Design a Zero Trust strategy and architecture Evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies Design a strategy for data and applications Recommend security best practices and priorities This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have advanced security engineering experience and knowledge and experience with hybrid and cloud implementations About the Exam Exam SC-100 focuses on the knowledge needed to build overall security strategy and architecture; design strategies for security operations, identity security, and regulatory compliance; evaluate security posture; recommend technical strategies to manage risk; design strategies to secure server endpoints, client endpoints, and SaaS, PaaS, and IaaS services; specify application security requirements; design data security strategy; recommend security best practices based on Microsoft Cybersecurity Reference Architecture and Azure Security Benchmarks; use the Cloud ... Unknown localization key: "more"

Objev podobné jako Exam Ref SC-100 Microsoft Cybersecurity Architect - Sarah Young, Yuri Diogenes, Gladys Rodriguez, Mark Simos

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 ... Unknown localization key: "more"

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

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

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging ''explore'' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.

Objev podobné jako Linear Algebra for Data Science, Machine Learning, and Signal Processing - Jeffrey A. Fessler, Raj Rao Nadakuditi

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

Objev podobné jako The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K

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 ... Unknown localization key: "more"

Objev podobné jako Grokking Machine Learning - Luis Serrano

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

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Objev podobné jako The Statistical Physics of Data Assimilation and Machine Learning - Henry D. I. Abarbanel

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 ... Unknown localization key: "more"

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

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"

Objev podobné jako Machine Learning in Elixir - Sean Moriarity

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—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 go—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 ... Unknown localization key: "more"

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data 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 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 ... Unknown localization key: "more"

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

Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However, many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about, but who lack a technical background in computer science, statistics or math. The book describes in plain language what machine learning is and how it works. In addition, it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations.

Objev podobné jako Machine Learning for Managers - Paul Geertsema

A practical and innovative textbook detailing how to build real-world software products with machine learning components, not just models.Traditional machine learning texts focus on how to train and evaluate the machine learning model, while MLOps books focus on how to streamline model development and deployment. But neither focus on how to build actual products that deliver value to users. This practical textbook, by contrast, details how to responsibly build products with machine learning components, covering the entire development lifecycle from requirements and design to quality assurance and operations. Machine Learning in Production brings an engineering mindset to the challenge of building systems that are usable, reliable, scalable, and safe within the context of real-world conditions of uncertainty, incomplete information, and resource constraints. Based on the author’s popular class at Carnegie Mellon, this pioneering book integrates foundational knowledge in software engineering and machine learning to provide the holistic view needed to create not only prototype models but production-ready systems. •   Integrates coverage of cutting-edge research, existing tools, and real-world applications•   Provides students and professionals with an engineering view for production-ready machine learning systems•   Proven in the classroom•   Offers supplemental resources including slides, videos, ... Unknown localization key: "more"

Objev podobné jako Machine Learning in Production - Christian Kastner

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models.This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account.

Objev podobné jako Practical Machine Learning - Ally S. Nyamawe, Salim A. Diwani, Noe E. Nnko, Mohamedi M. Mjahidi, Kulwa Malyango, Godbless G. Minja

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially ... Unknown localization key: "more"

Objev podobné jako Human and Machine Learning

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

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