AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.
FREE CHAPTER DOWNLOAD -…
ContinueAdded by Alex Castrounis on August 27, 2020 at 7:20am — No Comments
Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and…
Added by Giuseppe Bonaccorso on February 9, 2020 at 3:01am — No Comments
Here I want to present my new book on advanced algorithms for data-intensive applications named "Probabilistic Data Structures and Algorithms in Big Data Applications" (ISBN: 9783748190486). The detailed information about the book you can find at its webpage and below I give you some introduction to the topic this book is about.…
ContinueAdded by Andrii Gakhov on May 13, 2019 at 9:00am — No Comments
The drafts of the two final chapters of The Hundred-Page Machine Learning Book are now online. They consider metric learning, learning to rank, learning to recommend (including factorization machines and denoising autoencoders), and word embeddings.
The book is now complete and I'm so happy about…
ContinueAdded by Andriy Burkov on December 17, 2018 at 12:41pm — No Comments
The second edition (fully revised, extended, and updated) of Machine Learning Algorithms has been published (Packt).
From the back cover:
Machine learning has gained tremendous popularity for…
ContinueAdded by Giuseppe Bonaccorso on September 2, 2018 at 7:18am — No Comments
The book "Mastering Machine Learning Algorithms" has been published by Packt
From the back cover:
Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more…
ContinueAdded by Giuseppe Bonaccorso on June 15, 2018 at 6:30am — 2 Comments
Added by Gohar F. Khan on April 25, 2018 at 3:30pm — No Comments
If you're a regular visitor to our website you'll know that every month we scour the internet seeking out free eBooks to help you on your educational journey. Well, it has been so popular that we decided to create a regular monthly series here at Data Science Central.
I hope this will prove to be a valuable resource to you that you will visit regularly (and invite your friends too).…
Added by Lee Baker on July 10, 2017 at 7:00am — 3 Comments
Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!
These books require different levels of existing knowledge, and while some are for…
ContinueAdded by Lee Baker on August 31, 2016 at 4:00am — 6 Comments
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.
Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.
If you haven’t seen any…
ContinueAdded by Lee Baker on August 18, 2016 at 5:30am — No Comments
Added by Neuza Nunes on October 23, 2015 at 11:57am — No Comments
A new 191-page PDF eBook published by the National Academies of Sciences Press is available, "Frontiers in Massive Data Analysis," and can be downloaded for free (after free website registration):
http://www.nap.edu/catalog.php?record_id=18374
The first 9 of the 10 chapters offer a comprehensive survey of state-of-the-art big data architectures, machine learning, and analysis techniques.
Chapter 10 really…
ContinueAdded by Michael Malak on September 23, 2013 at 9:35am — No Comments
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