A Guide for Making Black Box Models Explainable, by Christoph Molnar. Preface Machine learning has a huge potential to improve products, processes and research. But machi...
This collection covers much more than the topics listed in the title. It also features Azure, Python, Tensorflow, data visualization, and many other cheat sheets. Additio...
Great infographics on how to choose the right language for you to learn. Originally posted here. See also this one below, originally posted here (click on picture for bet...
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate sp...
Here is a list of potential projects to help you complete your master in data science or in a related field. Project #8: Detecting fake reviews on Amazon Business and A...
Data analytics is a red-hot field in terms of growth and popularity, but there’s a relatively new segment of the field that’s starting to catch fire: Email analytics....
It seems that much of the data analysis work I’ve done over the last few months has followed a “script”. First, identify data, often government-sponsore...
Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiat...
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. About This Book Step into the amazing world of inte...
I recently posted a table summarizing probabilistic properties of digits in various number representation systems, see here. The topic is already rather difficult for w...