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  • - A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
    af Tarek Amr
    448,95 kr.

    This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.

  • af Tarek Amr & Rayna Stamboliyska
    374,95 kr.

    Your indispensable guide to mastering the efficient use of D3.js in professional-standard data visualization projects. You will learn what data visualization is, how to work with it, and how to think like a D3.js expert, both practically and theoretically.Practical D3.js does not just show you how to use D3.js, it teaches you how to think like a data scientist and work with the data in the real world. In Part One, you will learn about theories behind data visualization. In Part Two, you will learn how to use D3.js to create the best charts and layouts. Uniquely, this book intertwines the technical details of D3.js with practical topics such as data journalism and the use of open government data.Written by leading data scientists Tarek Amr and Rayna Stamboliyska, this book is your guide to using D3.js in the real world - add it to your library today.You Will Learn:How to think like a data scientist and present data in the best wayWhat structure and design strategies you can use for compelling data visualizationHow to use data binding, animations and events, scales, and color pickersHow to use shapes, path generators, arcs and polygonsWho This Book is For:This book is for anyone who wants to learn to master the use of D3.js in a practical manner, while still learning the important theoretical aspects needed to enable them to work with their data in the best possible way.