Böcker utgivna av Packt Publishing Limited

Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key Features:Learn how Kaggle works and how to make the most of competitions from over 30 expert KagglersSharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoMLA concise collection of smart data handling techniques for modeling and parameter tuningBook Description:Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.The first book of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you.Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!What You Will Learn:Get acquainted with Kaggle as a competition platformMake the most of Kaggle Notebooks, Datasets, and Discussion forumsCreate a portfolio of projects and ideas to get further in your careerDesign k-fold and probabilistic validation schemesGet to grips with common and never-before-seen evaluation metricsUnderstand binary and multi-class classification and object detectionApproach NLP and time series tasks more effectivelyHandle simulation and optimization competitions on KaggleWho this book is for:This book is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this book useful.A basic understanding of machine learning concepts will help you make the most of this book.

Discover how you can leverage the reactive paradigm with RxJS in your Angular applications using some common patterns and techniques that can be implemented in real-world use casesKey Features:- Learn how to write clean, maintainable, performant, and optimized Angular web applications using reactive patterns- Explore various RxJS operators and techniques in detail to improve the testing and performance of your code- Switch from an imperative mindset to reactive by comparing bothBook Description:RxJS is a fast, reliable, and compact library for handling asynchronous and event-based programs. It is a first-class citizen in Angular and enables web developers to enhance application performance, code quality, and user experience, so using reactive patterns in your Angular web development projects can improve user interaction on your apps, which will significantly improve the ROI of your applications.This book is a step-by-step guide to learning everything about RxJS and reactivity. You'll begin by understanding the importance of the reactive paradigm and the new features of RxJS 7. Next, you'll discover various reactive patterns, based on real-world use cases, for managing your application's data efficiently and implementing common features using the fewest lines of code.As you build a complete application progressively throughout the book, you'll learn how to handle your app data reactively and explore different patterns that enhance the user experience and code quality, while also improving the maintainability of Angular apps and the developer's productivity. Finally, you'll test your asynchronous streams and enhance the performance and quality of your applications by following best practices.By the end of this RxJS Angular book, you'll be able to develop Angular applications by implementing reactive patterns.What You Will Learn:- Understand how to use the marble diagram and read it for designing reactive applications- Work with the latest features of RxJS 7- Build a complete Angular app reactively, from requirement gathering to deploying it- Become well-versed with the concepts of streams, including transforming, combining, and composing them- Explore the different testing strategies for RxJS apps, their advantages, and drawbacks- Understand memory leak problems in web apps and techniques to avoid them- Discover multicasting in RxJS and how it can resolve complex problemsWho this book is for:If you're an Angular developer who wants to leverage RxJS for building reactive web applications, this is the book for you. Beginner-level experience with Angular and TypeScript and knowledge of functional programming concepts is assumed.Table of ContentsThe Power of the Reactive ParadigmRxJS 7 - The Major FeaturesA Walkthrough of the ApplicationFetching Data as StreamsError HandlingCombining StreamsTransforming StreamsMulticasting EssentialsCaching StreamsSharing Data between ComponentsBulk OperationsProcessing Real-Time UpdatesTesting RxJS Observables

Supercharge performance analytics and create repeatable patterns to ensure you get the best performance and scalability from your analytics solutions with Power BIKey Features:- Learn how to build performant data models and apply Row-Level Security- Identify and fix performance issues in reports, DAX, and datasets using DAX Studio/VertiPaq Analyzer- Use a formal process to manage performance, from setting targets to monitoring and remediating issuesBook Description:This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture.Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues.Complete with explanations of essential concepts and practical examples, you'll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You'll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you'll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You'll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing.By the end of this Power BI book, you'll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.What You Will Learn:- Understand how to set realistic performance targets and address performance proactively- Understand how architectural options and configuration affect performance- Build efficient Power BI reports and data transformations- Explore best practices for data modeling, DAX, and large datasets- Understand the inner workings of Power BI Premium- Explore options for extreme scale with Azure services- Understand how to use tools that help identify and fix performance issuesWho this book is for:Data analysts, BI developers, and data professionals who have learnt the basics of Power BI and now want to understand how to build advanced analytics solutions will find this business intelligence book useful. Familiarity with the major components of Power BI and a beginner-level understanding of their purpose and use cases are required.Table of Contents- Setting Targets and Identifying Problem Areas- Exploring Power BI Architecture and Configuration- DirectQuery Optimization- Analyzing Logs and Metrics- Desktop Performance Analyzer- Third-Party Utilities- Governing with a Performance Framework- Loading, Transforming, and Refreshing Data- Report and Dashboard Design- Data Modeling and Row-Level Security- Improving DAX- High-Scale Patterns- Optimizing Premium and Embedded Capacities- Embedding in Applications