Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy: (Introduction to Data, Data Visualization, Business Intelligence & Mach, Theobald Oliver
Описание: Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some theory and statistical principles to march through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to the practical components and statistical concepts found in machine learning. Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.This major new edition features many topics not covered in the First Edition, including Cross Validation, Data Scrubbing and Ensemble Modeling. Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition. Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment
Автор: Joseph Theobald Название: Marvin Gets MAD! ISBN: 1408850028 ISBN-13(EAN): 9781408850022 Издательство: Bloomsbury Рейтинг: Цена: 1187.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One perfect morning Molly eats the very apple that Marvin had his eye on. Marvin is CROSS and has a terrible tantrum, rampaging through the countryside, causing chaos. Who will be able to calm Marvin down and tease him out of his tantrum? Will he be able to do it by himself or will he need some help?
Автор: Theobald Oliver Название: Machine Learning: Make Your Own Recommender System ISBN: 1726769038 ISBN-13(EAN): 9781726769037 Издательство: Неизвестно Цена: 2224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn How to Make Your Own Recommender System in an Afternoon.Recommender systems are one of the most visible applications of machine learning and their uncanny ability to convert our unspoken actions into items we like is both addicting and concerning. Recommender systems, though, are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system using Python. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. Who is the Book For?The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: - How to set up a free and easy sandbox environment using Jupyter Notebook- How to prepare your data for processing- How to code a collaborative filtering model- How to code a content-based filtering model- How recommender systems are evaluated - What you need to know about privacy and ethics- What the future of Recommender Systems might look like
Описание: This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
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