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Jumat, 11 Agustus 2017

[PDF] Prenota pieno Ebook gratis [PDF] Data science par la pratique- online pdf

  restayumna       Jumat, 11 Agustus 2017



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Data science par la pratique

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  • Published on: 2017-05-11
  • Released on: 2017-05-11
  • Dimensions: 7.48" h x
    .75" w x
    9.06" l,
  • Binding: Paperback

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms 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 data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

  • Get a crash course in Python
  • Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
  • Collect, explore, clean, munge, and manipulate data
  • Dive into the fundamentals of machine learning
  • Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Customer Reviews

Most Helpful Customer Reviews

10 of 10 people found the following review helpful.
3The book is printed in greyscale - Online version is in colour
By Amazon Customer
Originally I seen an online version of this book and the main thing I liked about it was that the code was is colour and therefore much easier to read. However, when I bought the printed version, that was in greyscale. It might not be important to everyone but I probably would not have bought this if I had known before hand. The content itself is very helpful.

12 of 12 people found the following review helpful.
5A worth addition to any data scientists reading list
By Peadar Coyle
Clearly written book in a genre that has plenty of alternatives.* Excellent introduction to data structures throughout* Useful practical considerations of the underlying algorithms* Functional programming style which is unusual in this genre* Lively style by Joel

7 of 7 people found the following review helpful.
5Great Python Data Science book
By Jacob Barnett
Excellent book that takes you through a bunch of core Data Science techniques from the ground up using Python giving not only a great overview of many of the mainstays of the field but also offers the user the chance to build an understanding that you just won’t get from plugging data into a pre made library.The python throughout the book is beautifully written and extremely idiomatic and the crash course at the beginning of the book is worth the price of admission alone.My only slight complaint is the black and white printing throughout (unlike some of the other O’Reilly DS books) – colour highlighted syntax would have made the code easier to read.

See all 17 customer reviews...



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