Doing Data Science Pdf


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Data Science From Scratch

Data Science From Scratch Author by : Joel Grus
Languange Used : en
Release Date : 2015-04-14
Publisher by : "O'Reilly Media, Inc."
ISBN : 9781491904404
File Size : 49,7 Mb
Total Download : 963

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 da
Category: Computers

Doing Data Science

Doing Data Science Author by : Cathy O'Neil
Languange Used : en
Release Date : 2013-10-09
Publisher by : "O'Reilly Media, Inc."
ISBN : 9781449363895
File Size : 53,6 Mb
Total Download : 538

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar wit
Category: Computers

Foundations Of Data Science

Foundations Of Data Science Author by : Avrim Blum
Languange Used : en
Release Date : 2020-02-29
Publisher by : Cambridge University Press
ISBN : 1108485065
File Size : 47,7 Mb
Total Download : 791

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matri
Category: Computers

Python Data Science Handbook

Python Data Science Handbook Author by : Jake VanderPlas
Languange Used : en
Release Date : 2016-11-21
Publisher by : "O'Reilly Media, Inc."
ISBN : 9781491912133
File Size : 45,8 Mb
Total Download : 740

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, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types
Category: Computers
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