Principles of Data Science by Sinan Ozdemir (English) Paperback Book

Description: Principles of Data Science by Sinan Ozdemir This book bridges the gap between mathematics and computer science to show you how to gain actionable insights from your data. Youll explore the entire data science pipeline while learning effective data mining techniques and the fundamentals of computational mathematics and statistics to create powerful data visualizations. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Learn the techniques and math you need to start making sense of your data About This Book * Put data science theory into practice to power your organization * More than just a math class, youll learn how to perform real-world data science tasks with R and Python * Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic maths skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you.What You Will Learn * Get to know the 5 most important steps of data science * Use your data intelligently and learn how to handle it with care * Bridge the gap between mathematics and programming * Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results * Build and evaluate baseline machine learning models * Explore the most effective metrics to determine the success of your machine learning models * Create data visualizations that communicate actionable insights * Read and apply machine learning concepts to your problems and make actual predictions In Detail The Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, youll feel confident about asking-and answering-complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, youll go on an exciting journey to becoming a data scientist.Taking you through the entire data science pipeline beginning with cleaning and preparing data, and providing effective data mining strategies and techniques, youll begin to build a comprehensive picture of how every piece of the data science puzzle fits together. You will learn the fundamentals of computational mathematics and statistics using both R and Python, as well as some pseudocode being used today by data scientists and analysts. Youll get to grips with machine learning, get to know some useful statistical models that help you take control and navigate even the most dense datasets, and find out how to create powerful visualizations that communicate what your data means. Data without insight is worthless-so make sure youre able to make the jump and link the gap between theory and practice! Author Biography Sinan Ozdemir is a Data Scientist in San Francisco, CA. Before becoming the Founder and CTO of Legion Analytics, a Y Combinator Fellowship sales company built on machine learning, Sinan was a lecturer at The Johns Hopkins University where he lectured on Business Intelligence as well as computer science and statistics. Sinans passion for data and education has followed him all over the country where he has taught in several prison systems, conferences, universities, as well as through many online channels. Details ISBN1785887912 Author Sinan Ozdemir Pages 388 Publisher Packt Publishing Language English ISBN-10 1785887912 ISBN-13 9781785887918 Media Book Format Paperback Year 2016 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom DEWEY 004 Illustrations black & white illustrations Audience General/Trade Publication Date 2016-12-16 UK Release Date 2016-12-16 AU Release Date 2023-04-02 NZ Release Date 2023-04-02 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:102041404;

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