Feed Your Creativity

Inspiration in Your Inbox !
BLOGS: Popular The Captain's Blog Discover Data Discover Stats Discover Visualisation

RESOURCES: Popular eBooks Videos eCourses Exclusive **NEW**

Free Data Science eBooks - April 2018

After being snowed under for much of February and March, we've finally got rid of the last of the snow and there's new buds all over the plants and trees. Maybe we'll get a 'normal' spring this year. That's normal as in 'usual', not as in 'Normal Distribution', but I guess you probably figured that out...

Now that the clocks have changed and the nights are getting lighter, there might be just a little more light left in the evenings to read by without turning on the lights, so let's curl up with a good book, get the brain cells going and learn some new data skills.

I hope the 3 free books in this blog post prove to be a valuable resource to you and that you will visit regularly (and share with your friends in social media too).

If you haven't subscribed to our newsletter yet, why not subscribe using the form on the right - you'll be the very first to know when new resources are published.

 

3 Free Data Science Books for April

Free Data Science eBooks - April 2018 Free Data Science eBooks - April 2018

 

This month we highlight 3 books:

  • Theory and Applications for Advanced Text Mining
  • Modeling with Data
  • Learning Deep Architectures of AI

They're all FREE, so help yourselves...

Enjoy!

 

Disclosure: the three books highlighted here do not have affiliate links.
However, links to other resources on this page 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

 

Theory and Applications for Advanced Text Mining

by Shigeaki Sakurai

Theory and Applications for Advanced Text Mining Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge.

Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields.

This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language.

I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields.

 

Related Udemy Video Courses

If you're interested in learning more about data mining, sentiment analysis and natural language processing, check out the following video courses. Just click through for more details.

Note: the links to these courses are affiliate links.


 

Modeling with Data

by Ben Klemens

Modeling with Data Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.

Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures.

He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods.

Klemens's accessible survey describes these models in a unified and non-traditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds.

 

Related Udemy Video Courses

If you're interested in learning more about Big Data stuff, check out the following video courses. Just click through for more details.

Note: the links to these courses are affiliate links.

 

Enjoying this blog post? Share it with the world...

 

Learning Deep Architectures of AI

by Yoshua Bengio

Learning Deep Architectures of AI Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep architectures.

Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae.

Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state-of-the-art in certain areas.

This monograph discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.

 

Related Udemy Video Courses

If you're interested in learning more about machine learning, check out the following video courses. If you need more details, you can find them in the blog post How To Become a Neural Networks Master in 3 Simple Steps, where each of these courses has been reviewed.

Note: the links to these courses are affiliate links.


 

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

 

Blog Posts

 

 

 

Books



 

Videos & Video Courses

 

 

 

Software

DataKleenr - Translates the Data You Have into the Data You Need

DataKleenr - all your data cleaned in minutes, not months
DataKleenr cleans and classifies your data - including outliers - as it is being uploaded. A few moments later, your data is analysis-ready!
DataKleenr is fast, simple and accurate, leaving you the time you need to do the really important parts of your job.

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

 


 

blog comments powered by Disqus