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Principles of Data Science
Principles of Data Science

Principles of Data Science: Understand, analyze, and predict data using Machine Learning concepts and tools , Second Edition

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Profile Icon Sinan Ozdemir Profile Icon Kakade Profile Icon Tibaldeschi
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£9.99 per month
Paperback Dec 2018 424 pages 2nd Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Sinan Ozdemir Profile Icon Kakade Profile Icon Tibaldeschi
Arrow right icon
£9.99 per month
Paperback Dec 2018 424 pages 2nd Edition
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£29.99
Paperback
£36.99
Subscription
Free Trial
Renews at £9.99p/m

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Key benefits

  • Enhance your knowledge of coding with the theory for practical insight in data science and analysis
  • More than just a math class; you’ll perform real-world data science tasks using Python
  • Get the best insights and transform your data to get tangible value out of it

Description

Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas. Going through the data science pipeline, you'll clean and prepare data and learn effective data mining strategies and techniques to gain a comprehensive view of how the data science puzzle fits together. You’ll learn fundamentals of computational mathematics and statistics and pseudo-code used by data scientists and analysts. You’ll learn machine learning, discovering statistical models that help control and navigate even the densest datasets, and learn powerful visualizations that communicate what your data means.

Who is this book for?

If you are an aspiring data scientist who wants to take your first steps in data science, this book is for you. If you have the basic math skills but want to apply them in data science, or you have good programming skills but lack the necessary math, this book will also help you. Some knowledge of Python programming will also help.

What you will learn

  • Understand 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
  • Drive actionable results and clean your data using statistical models, calculus, and probability
  • Build and evaluate baseline machine learning models
  • Explore effective metrics to determine the success of your machine learning models
  • Create data visualizations that communicate actionable insights
  • Apply machine learning concepts to your problems and make actual predictions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 26, 2018
Length: 424 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789804546
Category :
Languages :
Concepts :
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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Dec 26, 2018
Length: 424 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789804546
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total £ 102.97
Hands-On Big Data Modeling
£32.99
Principles of Data Science
£36.99
Data Wrangling with Python
£32.99
Total £ 102.97 Stars icon
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