Tag: free

  • Recent Free Online Books for Data Science

    This is just a short list of a few books that I have have recently discovered online. Model-Based Machine Learning – Chapters of this book become available as they are being written. It introduces machine learning via case studies instead of just focusing on the algorithms. Foundations of Data Science – This is a much…

  • Learn to Analyze Big Data with R – Free Course

    R is a hugely popular language among data scientists and statisticians. One of the difficulties with open-source R is the memory constraint. All the data needs to be loaded into a data.frame. Microsoft solves this problem with the RevoScaleR package of the Microsoft R Server. Just launched this week is an EdX course on Analyzing…

  • Our World In Data

    Our World in Data is data visualization site for exploring the history of civilization. The site was created by Max Roser. Our World in Data contains tons of information about many aspects of people’s lives. It also includes numerous visuals (like the one below) which can be easily shared or embedded on other sites. https://ourworldindata.org/grapher/life-expectancy…

  • Free Stats book for Computer Scientists

    Professor Norm Matloff from the University of California, Davis has published From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science which is an open textbook. It approaches statistics from a computer science perspective. Dr. Matloff has been both a professor of statistics and computer science so he is well suited to write such…

  • Google Announces Public Data Sets

    Somewhat lost in the hype of Google’s Cloud Machine Learning announcement (which is itself neat), was the release of Google’s Public Data Sets. I think this has been previously happening, but now Google has an official location for these public data sets stored in BigQuery. You can: Access and use the data in your applications…

  • Understanding Machine Learning: From Theory to Algorithms (Free Book Download)

    Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Associate Professor at the School of Computer Science and Engineering at The Hebrew University, Israel, and Shai Ben-David, Professor in the School of Computer Science at the University of Waterloo, Canada. The book looks very thorough. Below is just a sampling of the topics covered.…

  • Model-based Machine Learning, Free Early Access Book

    Model-based Machine Learning, Free Early Access Book

  • 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…

  • DataQuest – Free Browser-based Learning for Data Science

    DataQuest is a recently launched online data science learning platform for python. The site consists of a gamified series of missions that increase in difficulty as your skills progress. Here are a few other features of the site. Sample Code Live, Interactive Browser-based Coding Environment Step by Step Instructions Instant Feedback Helpful Forums for Q&A…

  • Insight Data Engineering – A Free Tuition Training Program

    The creators is the Insight Data Science Fellows Program have done it again. This time they have created the Insight Data Engineering Program. The program aims to training highly specialized software engineers that can build big data systems and big data pipelines. Unlike the data science program, the data engineering program does not target people…

  • 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…

  • A Course in Machine Learning (free book)

    Hal Daumé III, Assistant Professor of Computer Science at the University of Maryland, has placed the contents of his book online. The book is titled A Course in Machine Learning. Here is a small sampling of the chapters from A Course in Machine Learning: Decision Trees Linear Models Neural Networks Ensemble Methods Bayesian Learning