learn data science from scratch pratheerth padman

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making.

Objev podobné jako Learn Data Science from Scratch - Pratheerth Padman

With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

Objev podobné jako Data Science from Scratch - Joel Grus

Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects. Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms. Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader''s skills. Covers Python 3.x

Objev podobné jako Computer Science From Scratch - David Kopec

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Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on ... Unknown localization key: "more"

Objev podobné jako SQL for Data Scientists - Renee M. P. Teate

Learn to build financial software hands-on using generative AI tools like ChatGPT and Copilot.The software used by banks, trading firms, and other financial services has special requirements at every level, from securing the UI to making sure backend services comply with a host of regulations. Software engineers with FinTech experience are highly valued, and generative AI tools can make you even more productive. Build Financial Software with Generative AI (From Scratch) shows you how to deliver full stack financial services software, including Agile practices, research, testing strategies, security, documentation, and more, using AI tools like ChatGPT and Copilot.In Build Financial Software with Generative AI (From Scratch) you will: Explore the core concepts of FinTech Speed development with generative AI tools Develop and deploy containerized services Create and document APIs Effectively visualize your data In Build Financial Software with Generative AI (From Scratch) you''ll build working software for processing Automated Clearing House (ACH) files, a cornerstone technology of banking that moves trillions of dollars every year. You''ll work with generative AI technology throughout the full stack application, including researching the tech for your application, spinning up a bare bone starting project, answering domain questions, clarifying functionality, and troubleshooting Along the way, ... Unknown localization key: "more"

Objev podobné jako Build Financial Software with Generative AI (From Scratch) - Chris Kardell

IACP AWARD WINNER • Transport the taste of Scandinavia to your home kitchen with the delightful sweet and savory bites compiled in this delightful baking book.A SAN FRANCISCO CHRONICLE BEST COOKBOOK OF THE YEARFrom chef Nichole Accettola, Scandinavian from Scratch brings to the page an assortment of baked goods and simple morning and midday meals rooted in Scandinavian cuisine. After moving back to the United States following more than a decade abroad, Accettola found herself longing for the wholesome breads, buttery pastries, decadent cakes, and cookies that she enjoyed on a daily basis while living in Copenhagen. She set out on a mission to bring the tastes and treats of Norway, Sweden, and Denmark to San Francisco and opened her now beloved bakery café, Kantine. In Scandinavian from Scratch, Accettola has curated 75 delicious bakes, organized by occasion and arranged from simplest to most complex, drawing from her collection of each Scandinavian country’s baking traditions. Fill your home kitchen with the enticing aromas of Coconut Dream Cake, Black Currant Caves, Cardamom Morning Buns, Saffron Rusks, Gravlax and Chive Potato Salad Smørrebrød, and so much more. The easy-to-follow recipes will expand your baking horizons and bring something special to the table, ... Unknown localization key: "more"

Objev podobné jako Scandinavian from Scratch - Nichole Accettola

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

Soon to be a limited Netflix series starring Zoe Saldana!This Reese Witherspoon Book Club Pick and New York Times bestseller is "a captivating story of love lost and found" (Kirkus Reviews) set in the lush Sicilian countryside, where one woman discovers the healing powers of food, family, and unexpected grace in her darkest hours.It was love at first sight when actress Tembi met professional chef, Saro, on a street in Florence. There was just one problem: Saro's traditional Sicilian family did not approve of his marrying a black American woman. However, the couple, heartbroken but undeterred, forged on. They built a happy life in Los Angeles, with fulfilling careers, deep friendships, and the love of their lives: a baby girl they adopted at birth. Eventually, they reconciled with Saro's family just as he faced a formidable cancer that would consume all their dreams.From Scratch chronicles three summers Tembi spends in Sicily with her daughter, Zoela, as she begins to piece together a life without her husband in his tiny hometown hamlet of farmers. Where once Tembi was estranged from Saro's family, now she finds solace and nourishment-literally and spiritually-at her mother-in-law's table. In the Sicilian countryside, she discovers the healing ... Unknown localization key: "more"

Objev podobné jako From Scratch - Tembi Locke

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"

Objev podobné jako Mastering Marketing Data Science - Iain Brown

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

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

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of ... Unknown localization key: "more"

Objev podobné jako The Data Science Handbook - Field Cady

Data science and machine learning—two of the world''s hottest fields—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 more—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

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

Objev podobné jako Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

Learn how a frontend web framework works by coding your own!Web developers use frontend frameworks every day, but do you know how these essential parts of your stack really work? Build a Frontend Web Framework (From Scratch) reveals the inner workings of web frameworks by helping you create your very own.In Build a Frontend Web Framework (From Scratch), you''ll learn the secrets behind frameworks like React, Vue, and Angular, including: Create HTML documents programmatically Define the view with virtual DOM Update the HTML efficiently with reconciliation algorithms Create two-way communication mechanisms between components in a hierarchy Whatever your experience level, you''ll be able to start building your framework with this guide. All you need is some core skills in HTML, CSS, and JavaScript. And once you''ve learned how frameworks function, you''ll be able to work with them more efficiently, troubleshoot bugs more effectively, and even customize them for your specific needs!

Objev podobné jako Build a Frontend Web Framework (From Scratch) - Angel Orbaiceta

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 ... Unknown localization key: "more"

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

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors'' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

Objev podobné jako Data Science in Context - Peter Norvig, Alfred Z. Spector, Jeannette M. Wing, Chris Wiggins

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

Objev podobné jako Ultimate Data Science Programming in Python - Saurabh Chandrakar

Feel confident navigating the fundamentals of data science Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Strengthen your understanding of data science basicsReview what you've already learned or pick up key skillsEffectively work with data and provide accessible materials to othersJog your memory on the essentials as you work and get clear answers to your questions Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

Objev podobné jako Data Science Essentials For Dummies - Lillian Pierson

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

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

Objev podobné jako Fast Python for Data Science - Tiago Antao

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

Fólie na karty Scratch Wars chrání karty před poškozením. Balení obsahuje 100 kusů obalů o rozměrech 6,6 x 9 cm. Produkt je vhodný pro děti od 8 let.

• Balení obsahuje 100 praktických fólií
• Chrání stávající i nové karty Scratch Wars
• Vhodné pro děti od 8 let
• Rozměry 6,6 x 9 cm přesně padnou na karty

Objev podobné jako Scratch Wars Fólie na karty

Krabička je určena pro ukládání karet karetní hry Scratch Wars. Je vhodná pro děti od 8 let a má rozměry 8 x 7 x 9,5 cm. Výrobek pochází z České republiky.

• Vhodná pro děti od 8 let
• Praktické řešení pro ukládání karet
• Vyrobeno v České republice
• Kompatibilní s kartami Scratch Wars

Objev podobné jako Scratch Wars Krabička na karty

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

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

While data science is powering most modern organisations its technical intricacies often remain confined to a select few.This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman’s terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies.Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.

Objev podobné jako Data Science Foundations - Ian Huke, Stephen Mariadas

Scratch Wars Starter Lite je základní sada oblíbené české karetní hry. Obsahuje stírací kartu hrdiny, kartu zbraně a stírátko s tyčkou pro okamžité začátky. Hra je kompatibilní s mobilní aplikací pro iOS a Android.

• Kompletní základní sada pro okamžité hraní
• Kompatibilita s mobilní aplikací pro rozšířenou hru
• Vhodné pro děti od 10 let - bezpečný materiál
• Podpora českého výrobce - kvalitní provedení

Objev podobné jako Scratch Wars Starter Lite

Karta zbraně Zepplandia je stírací karta ze 4. edice hry Scratch Wars. Po načtení v aplikaci umožňuje vstup do online bojů, získávání kouzel a účast v turnajích. Karta je vhodná pro děti od 8 let a pochází z České republiky.

• Karta ze 4. edice Zepplandia pro rozšíření sbírky
• Kompatibilita s mobilní aplikací pro iOS a Android
• Vhodné pro děti od 8 let
• Možnost vytvoření celého vojenského týmu

Objev podobné jako Scratch Wars Karta zbraně Zepplandia

Rozšíření Spinbay přidává do karetní hry Scratch Wars nové hrdiny, zbraně a herní prvky z přístavního prostředí. Obsahuje kombinaci stíracích a nestíracích karet, které zavádějí mechaniky kouzel a obchodování. Hra je určena pro jednoho hráče od 8 let s průměrnou dobou hraní 7 minut.

• Nové herní mechaniky s nestíracími kartami
• Přidává vzrušující prvek obchodování a sběratelství
• Vhodné pro samostatnou hru (1 hráč)
• Rychlá herní doba (cca 7 minut)

Objev podobné jako Scratch Wars Port Spinbay

Islam in practice can often seem opaque to the outside viewer. New Muslims and non-Muslims alike look on as believers offer salah, attend Friday prayer, wear the hijab, and fast during Ramadan, not knowing the particulars of why or how these acts of worship are performed. If you are a new Muslim, or just a curious observer wanting to know more about Islam, then this book is for you. ISLAM FROM SCRATCH attempts to bridge this wide gap in knowledge, helping readers understand the Islamic faith step by step, chapter by chapter. For new Muslims, this book hopes to provide you with the most critical information when taking your first steps into the faith in a way that won''t overwhelm you. By the end, hopefully you will not only understand your newfound belief and the intricacies that thread it, but also appreciate the rituals and history that come with it.

Objev podobné jako Islam from Scratch - Brandon Richey

A practical field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.In How to Lead in Data Science you''ll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company''s data strategy. You''ll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away.

Objev podobné jako How to Lead in Data Science - Jike Chong, Yue Chang

This beginner''s book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.

Objev podobné jako Dive Into Data Science - Bradford Tuckfield

Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess” decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"

Objev podobné jako Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Objev podobné jako Hands-On APIs for AI and Data Science - Ryan Day

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller''s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went ''viral'' before anybody knew what that meant, on being the person who forgot to hit ''enter'' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller''s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of ... Unknown localization key: "more"

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

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

Join the students of Ladybird Class as they learn to count from 0 to 20!Your little learner will join the diverse characters of Ladybird Class as they practice new skills every day. Packed with activities and games, Count from 0-20 is developed and written by primary educators, making it the perfect book to support your child''s counting skills.Join Zara Penguin, Tao Meerkat, Ali Lion, Olivia Crocodile, Noah Panda and Nia Hedgehog as they learn all the key skills your child needs to count to 20. From counting in order, to practising counting in different contexts, this book is the perfect introduction to counting for your little one.Packed with helpful notes for grown-ups to support your child''s learning and extension activities to bring learning to life in day-to-day activities, Count from 0 to 20 is perfect for encouraging children to use their early counting skills.Looking for another school-bag bestseller? Discover:First Sums: A Learn with Ladybird Activity Book 3-5 years.Wipe Clean Letters: A Learn with Ladybird Activity Book 3-5 years.

Objev podobné jako Count from 0 to 20: A Learn with Ladybird Activity Book 3-5 years - Ladybird

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

This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Objev podobné jako Data Science for Business - Foster Provost

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

Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.

Objev podobné jako Confident Data Science - Adam Ross Nelson

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

Coding with Scratch – Create Fantastic Driving Games will take you from Scratch basics through to creating your own fantastic driving games in easy steps. Each game comes with challenges to take you to the next level of coding. Even includes mods to make your games more exciting. Have fun and amaze your friends and family! You’ll learn how to:Use code to make a series of driving games including parking, racing, scrolling and two-player games.Design your own game levels, cars and tracks.Use variables to keep the score and to store the speed in your games.Add sounds and create your own code blocks and functions.To create the games in this book, children will need a desktop computer or a laptop. The games require a proper keyboard so will not work well on a tablet or iPad. It is recommended that children should be supervised when using the internet, especially when using a new website.This is the UK English edition.

Objev podobné jako Coding with Scratch - Create Fantastic Driving Games - Max Wainewright

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

From the author of Meow or Never, a story about blended families, anxiety, and how a fresh start can be just what you need... even when you least expect it.Janie believes there''s a best way to do everything. When she sticks to a schedule, she and her mom can tackle anything. But Janie''s perfect schedule -- and her life -- are getting shaken up this year. Her new stepmom, Keisha, and her daughter, Makayla, are moving in with Janie and her mom.Worst of all? Makayla brings a cat with her. And Janie hates cats.Even though it''s hard, Janie tries to welcome Makayla to her new school. And honestly, she maybe does too good a job. Soon, Makayla is volunteering with Janie''s beloved Sunshine Club, and Janie''s friends all love her. The only one who pays any attention to her anymore is Makayla''s nosy cat. It feels like her new sister is taking over! What''s a gal to do with a copycat in her life?

Objev podobné jako Starting From Scratch: A Wish Novel

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

Explore spectacular visual timelines that tell the story of science, from fossils to quantum physics, and discover exactly how science has changed the world - one discovery at a time.Timelines of Science takes you on an astonishing journey through history, showing how dedication, disasters, and eureka moments have brought us antibiotics, electricity, space exploration, and so much more!Packed with fascinating facts, amazing images, and some seriously staggering science, this science history book shows how thousands of years of human endeavour have expanded our knowledge and shaped our lives. Find out why the fruitless search for a potion of eternal life led to the birth to chemistry. See how the invention of magnifying lenses opened new windows into the cosmos and micro-cosmos. And learn how happy accidents led to the discovery of X-rays, batteries, pulsars, and even the big bang.Dive deep into the pages of this sublime science book to discover: - Timeline features show how scientific ideas developed over time- Easy-to-read explanations of general science topics, such as the life cycle of a star or the history of Earth''s changing climate- Supporting boxes explain modern scientific concepts, adding educational value and aiding understanding- Feature spreads highlight specific breakthroughs, with the ... Unknown localization key: "more"

Objev podobné jako Timelines of Science - Patricia Fara, Leo Ball

Few people question the importance of science education in American schooling. The public readily accepts that it is the key to economic growth through innovation, develops the ability to reason more effectively, and enables us to solve the everyday problems we encounter through knowing how the world works. Good science teaching results in all these benefits and more -- or so we think. But what if all this is simply wrong? What if the benefits we assume science education produces turn out to be an illusion, nothing more than wishful thinking?In Why We Teach Science (and Why We Should), former high school teacher and historian of science education John L. Rudolph examines the reasons we''ve long given for teaching science and assesses how they hold up to what we know about what students really learn (or don''t learn) in science classrooms and what research tells us about how people actually interact with science in their daily lives. The results will surprise you. Instead of more and more rigorous traditional science education to fill the STEM pipeline, Rudolph challenges us to think outside the box and makes the case for an expansive science education aimed instead at rebuilding trust between science ... Unknown localization key: "more"

Objev podobné jako Why We Teach Science - John L. Rudolph