Sell Data Science from Scratch: First Principles with Python best price

Title: Science from Scratch Data: First Principles with Python Volume: Author(s): Joel Grus Year: 2015 Edition: 1 Language: English Pages (biblio/tech): 330\0 Molting RESULT SPECIFICATION Reproduction Black WHITE Paper B5 BOOKPAPER (STRONG CUIDER), LIGHT MATERIALS Clear PRINTING (NICE) Volulume SOFCOVER Data science libraries, frameworks, modules, and toolkits are great for doing science data, but they are also a good way to dive into the discipline without even understanding science data. In this book, you learn how many of the most fundamental science tools and algorithms data work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of science data, and with hacking skills you need to get start as A scientist data. Now's messy glut of data holds answers no one's even thought to ask. This book provides you with the know-how to dig that answers out. Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability-and understand how and when they use in scienceCollect dataCollect data, clean, munge, and manipulate dataDive into the fundamentals of engine learningImplement models Ace k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommenders systems, natural language processing, analysis network, MapReduce, and databases