Tag Archives: ebook

Free Data Science Book for Ordinary People

A great read for people without an extensive math, statistics or computer science background. And still an interesting read for those people.

The book includes tons of non-technical descriptions for data science terms.

You can download a copy of the book on SlideShare, or you can purchase a paperback copy via Lulu.

Model-based Machine Learning, Free Early Access Book

Model-based Machine Learning, Free Early Access Book

Free Book, Mining Massive Datasets, 2nd Edition

A new edition of Mining Massive Datasets is now available. It is used for a number of data mining courses at colleges across the US (and globe). Here are just a few of the topics from the book.

  • Map-reduce
  • Clustering
  • Recommendation Systems
  • Dimensionality Reduction
  • Social Network Analysis

Women In Data – Free ebook

O’Reilly just published a free ebook profiling 15 influential women in data science, Women in Data. The book is written by Cornelia Levy-Bencheton.

The following women are profiled in the book:

  • Michele Chambers, COO of RapidMiner
  • Camille Fournier, CTO of Rent the Runway
  • Carla Gentry, CEO of Analytical Solution
  • Kelly Hoey, Speaker and Early-stage Investor
  • Cindi Howson, VP of Research at Gartner
  • Neha Narkhede, Co-founder of Confluent
  • Claudia Perlich, Chief Scientist at Dstillery
  • Kira Radinsky, Co-founder of SalesPredict
  • Gwen Shapira, Software Engineer at Cloudera
  • Laurie Skelly, Data Scientist at Datascope
  • Kathleen Ting, Technical Account Manager at Cloudera
  • Renetta Garrison Tull, Associate Vice Provost of UMBC
  • Hanna Wallach, Researcher at Microsoft
  • Alice Zheng, Director of Data Science at Dato
  • Margit Zwemer, Founder of LiquidLandscape

Enjoy!

Markets For Good ebook

Markets for Good, an organization focused on performing data science for the social sector, recently released an ebook highlighting their 17 most influential blog posts. The ebook is titled, Markets for Good Selected Readings: Making Sense of Data and Information in the Social Sector.

Here is just a small sampling of the topics you can read about:

  • 3 Reasons Why Open Data Will Change the World
  • Let Our Data Define Us
  • Put Your Data Where Your Mouth Is

If you are interested in how data can be used to help the world, this ebook is a good place to start.

Free Big Data Analytics For Dummies eBook

Alteryx is offering the book, Big Data Analytics For Dummies, for free. If you are new to the term big data, this book provides a brief (about 40 pages) overview of the topic and what big data should be able to do for your company.

You have to register, but it is worth it for the free book.

Programmer's Guide to Data Mining – A free ebook

Ron Zacharski is currently writing a data mining book, A Programmer’s Guide to Data Mining. The book is targeted at programmers that want to know when and how to apply recommendation engines and other data mining techniques. The book is still in the writing phase, but I can say the first couple chapters are excellent. The book will always be available for free download.

If you are a programmer that is looking to add some recommendations to a website, I would highly suggest taking a look at this book.

Free Natural Language Processing Book

Natural Language Processing for the working Programmer

Beyond the title, no more explanation is needed.

Free Data Analysis Textbook

Cosma Shalizi of the Statistics Department at Carnegie Mellon University is working on an Advanced Data Analysis from an Elementary Point of View textbook. A copy of the textbook will remain freely available on the website. Since the textbook is still being created, comments are welcome.

Elements of Statistical Learning Textbook (Free)

The Elements of Statistical Learning textbook is available for free. It is a classic, widely-used textbooks for statistics and machine learning. Here is a far from complete list of some of the topics:

  • Supervised Learning
  • Linear/Logistic Regression
  • Regularization
  • Model Selection
  • Trees
  • Neural Networks
  • Support Vector Machines
  • Random Forests
  • Unsupervised Learning
  • Clustering

As you can see, the book is quite extensive.


Note: This book has been available for a quite a while, but I realized I have not added a link to it on my blog.