Data Science from Scratch
  • Author : Joel Grus
  • Release Date : 14 April 2015
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Pages : 330
  • ISBN 13 : 9781491904404
Ratings: 3.5
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Book Description: 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

Data Science from Scratch

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
Genre : Computers
DOWNLOAD

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 ...

Data Science from Scratch

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
Genre : Computers
DOWNLOAD

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 ...

Data Science from Scratch

Data Science from Scratch

Author : Joel Grus
Publisher : O'Reilly Media
Genre : Computers
DOWNLOAD

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills. The book covers: The important parts of Python to know The important parts of Math / Probability / Statistics to know The basics of data science How commonly-used data science techniques ...

Data Science From Scratch

Data Science From Scratch

Author : Steven Cooper
Publisher : Data Science
Genre : Uncategorized
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Author : Cathy O'Neil,Rachel Schutt
Publisher : "O'Reilly Media, Inc."
Genre : Computers
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Data Analysis from Scratch with Python

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Author : Peters Morgan
Publisher : Createspace Independent Publishing Platform
Genre : Data mining
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******Free eBook for customers who purchase the print book from Amazon****** Are you thinking of becoming a data analyst using Python? If you are looking for a complete guide to data analysis using Python language and its library that will help you to become an effective data scientist, this book ...

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Author : Jake VanderPlas
Publisher : "O'Reilly Media, Inc."
Genre : Computers
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, ...

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Author : Foster Provost,Tom Fawcett
Publisher : "O'Reilly Media, Inc."
Genre : Computers
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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many ...