Learn the techniques and math you need to start making sense of your data About This Book * Enhance your knowledge of coding with data science theory for practical insight into data science and analysis * More than just a math class, 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 ...
Read More
Learn the techniques and math you need to start making sense of your data About This Book * Enhance your knowledge of coding with data science theory for practical insight into data science and analysis * More than just a math class, 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 math 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 five 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 Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll 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, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you'll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You'll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means. Style and approach This is an easy-to-understand and accessible tutorial. It is a step-by-step guide with use cases, examples, and illustrations to get you well-versed with the concepts of data science. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts later on and will help you implement these techniques in the real world.
Read Less
Add this copy of Principles of Data Science: Learn the Techniques and to cart. $31.00, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2016 by Packt Publishing.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Add this copy of Principles of Data Science: Mathematical Techniques and to cart. $39.49, good condition, Sold by BooksRun rated 4.0 out of 5 stars, ships from Philadelphia, PA, UNITED STATES, published 2016 by Packt Publishing.
Add this copy of Principles of Data Science to cart. $42.08, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2016 by Packt Publishing Limited.
Add this copy of Principles of Data Science to cart. $45.78, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2016 by Packt Publishing Limited.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. 388 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
