50 years of Data Science
David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. The paper got the attention on Hacker… Read More »50 years of Data Science
David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. The paper got the attention on Hacker… Read More »50 years of Data Science
Human (or any other animal for that matter) brain computational power is limited by two basic evolution requirements : survival and procreation. Our “hardware” (physiology)… Read More »Human Brain vs Machine Learning – A Lost Battle?
WOLFRAM MATHEMATICA Before assessing R and Python, I will start with Wolfram Mathematica. It’s a powerful software, similar to MatLab. You can handle lists and… Read More »R vs Python? No! R and Python (and something else)
An archive of all O’Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled… Read More »80+ Free Data Science Books
What are the advantages of different classification algorithms? For instance, if we have large training data set with approx more than 10,000 instances and more… Read More »Comparing classification algorithms: pluses and minuses
This article was posted by Tamis van der Laan. Tamis is a data science and machine learning specialist. In the past few decades, computer systems have… Read More »Machine Learning: The Bigger Picture, Part I
This article was posted by Adrian Rosebrock on Pyimagesearch. Adrian is an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine. Inside… Read More »My Top 9 Favorite Python Deep Learning Libraries
Search any data related posting and you’ll soon be up to your eyeballs in reports on the promise of the new data era, techniques to… Read More »Finding and Using Data That Matters – 6 Things to Think About
Written in R, Python, Perl, C, and JavaScript, performing tasks such as web crawling, encryption, simulation, regression, NLP, or visualizations. 14 Useful Code Snippets Source… Read More »14 Useful Code Snippets
Data science is the ‘digital’ form of applied statistics. When we say ‘digital’, we refer to the concept of applying statistical techniques in terms of… Read More »Exclusive Learning Drive–Python for Data Science