Tag Archives: ebook

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.

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.

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.