From the post:
As you know, here at DataOnFocus we love to share information, specially about data sciences and related subjects. And what is one of the best ways to learn about a specific topic? Reading a book about it, and then practice with the fresh knowledge you acquired.
And what is better than increase your knowledge by studying a high quality book about a subject you like? It’s reading it for free! So we did some work and created an epic list of absolutelly free books on data related subjects, from which you can learn a lot and become an expert. Be aware that these are complex subjects and some require some previous knowledge.
Some comments on the books:
Caution:
Machine Learning – Wikipedia Guide
A great resource provided by Wikipedia assembling a lot of machine learning in a simple, yet very useful and complete guide.
is failing to compile with this message:
Generation of the document file has failed.
Status: Rendering process died with non zero code: 1
One possible source of the error is that the collection is greater than 500 articles (577 to be exact), which no doubt pushes it beyond 800 pages (another rumored limitation).
If I create sub-sections that successfully render I will post a note about it.
Warning:
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More (link omitted)
The exploration of social web data is explained on this book. Data capture from the social media apps, it’s manipulation and the final visualization tools are the focus of this resource.
This site gives fake virus warnings along with choices. Bail as soon as you see them. Or better yet, miss this site altogether. The materials offered are under copyright.
That’s the thing that government and corporation officials don’t realize about lying. If they are willing to lie for “our” side, then they are most certainly willing to lie to you and me. The same holds true for thieves.
Broken Link:
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (This is the broken link, I don’t have a replacement.)
A data mining book oriented specifically to marketing and business management. With great case studies in order to understand how to apply these techniques on the real world.
Assuming you limit yourself to the legally available materials, there are several thousand pages pages of materials, all of which are relevant to some aspect of data mining or another.
Each of these works covers material where new techniques have emerged since their publication.
This isn’t big data, there being only twenty-four (23) volumes if you exclude the three (one noted in the listing) with broken links and the illegal O’Reilly material.
Where would you start with organizing this collection of “small data?”