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Free Machine Learning eBooks - December 2016

Every month we scour the internet seeking out free eBooks to help you on your educational journey, and we share with you the fruits of our labours.

I hope this will prove to be a valuable resource to you that you will visit regularly (and invite your friends too).

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Free Machine Learning eBooks for December 2016


This month, we have 3 Machine Learning eBooks. They're all FREE - but they might not always be, so you need to get your skates on and read them before they're published in paper version...



Azure Machine Learning

by Jeff Barnes

This ebook introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services.

The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today.

It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes.

The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services.


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Bayesian Reasoning and Machine Learning

by David Barber

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly.

People who know the methods have their choice of rewarding jobs.

This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus.

Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models.

Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter



Deep Learning

by Ian Goodfellow, Yoshue Bengio and Aaron Courville

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.

Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.



Learn More


If you're interested in learning more about the content in this blog post we've sought out the best blogs, books, video courses and other stuff from around the internet for you. Some may be free while others may not, and to help you decide we use the following ratings:

- FREE content
- costs less than 10 £/$/Euro
- costs less than 50 £/$/Euro
- costs less than 100 £/$/Euro
- costs more than 100 £/$/Euro


Disclosure: some of these resources may be affiliate links, and we may earn an affiliate commission for purchases you make when using these links

You can find further details in our TCs


Blog Posts






Videos & Video Courses

Statistics for Data Science and Business Analysis

Statistics for Data Science and Business Analysis

4 hour Udemy Video Course delivered with animated videos. Perfect for beginners and will help get you started with basic statistical concepts

Statistics for Business Analytics A-Z

Statistics for Business Analytics A-Z

7 hour Udemy Video Course. Great for those needing a more business-oriented introduction to stats. Better still, the course even comes with homework. Yay!

Applied Statistical Modeling for Data Analysis in R

Applied Statistical Modeling for Data Analysis in R

9 hour Udemy Video Course. This is one of the top stats courses at Udemy and is a must-see for those that need to learn stats in R



CorrelViz - visualise all the correlations in your data in minutes

CorrelViz - visualise all the correlations in your data in minutes
CorrelViz is completely automated and gives you the Story of Your Data in minutes, with one click - saving you months of manual analysis and shed-loads of cash!
Analyse all your data, discover all the correlations you seek - and some you never even dreamed of...


Geeky Stuff



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