The Data Science Design Manual



Bookstore > Books > The Data Science Design Manual

The Data Science Design Manual
Free Download
Buy
Preview
Price$61.52 - $90.91
eBookFree
Rating
AuthorSteven S. Skiena
PublisherSpringer
Published2017
Pages450
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-103319554433
ISBN-139783319554433
EBook Hardcover Paperback

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an "Introduction to Data Science" course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains "War Stories," offering perspectives on how data science applies in the real world.





5 5 44

Similar Books


Practical Data Science Cookbook

Practical Data Science Cookbook

by Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta

Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2014

R for Data Science

R for Data Science

by Dan Toomey

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...

Price:  $30.99  |  Publisher:  Packt Publishing  |  Release:  2014

Practical Data Science

Practical Data Science

by Andreas Francois Vermeulen

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates...

Price:  $28.98  |  Publisher:  Apress  |  Release:  2018

R for Data Science

R for Data Science

by Hadley Wickham, Garrett Grolemund

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you ...

Price:  $29.95  |  Publisher:  O'Reilly Media  |  Release:  2016

Data Science at the Command Line

Data Science at the Command Line

by Jeroen Janssens

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you started - whether you're on Windows, OS X, or Linux - author Jero...

Price:  $7.67  |  Publisher:  O'Reilly Media  |  Release:  2014

Data Science on the Google Cloud Platform

Data Science on the Google Cloud Platform

by Valliappa Lakshmanan

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on...

Price:  $42.33  |  Publisher:  O'Reilly Media  |  Release:  2018

Think Like a Data Scientist

Think Like a Data Scientist

by Brian Godsey

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, ho...

Price:  $30.96  |  Publisher:  Manning  |  Release:  2017

Data Science with SQL Server Quick Start Guide

Data Science with SQL Server Quick Start Guide

by Dejan Sarka

SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.This book is the ideal introduction to data science w...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018