The following notes represent a complete, stand alone interpretation of Stanford’s machine learning course presented by Professor Andrew Ng and originally posted ...
This glossary defines general machine learning terms as well as terms specific to TensorFlow. Below is a small selection of the most popular entries. You can access this ...
A free online version of the second edition of the book based on Stat 110, Introduction to Probability by Joe Blitzstein and Jessica Hwang, is now available here. Pri...
Artificial Intelligence is spreading its wings almost everywhere. Starting from the businesses to even the agricultural fields, AI is powering the world in many ways than...
The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, n...
Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business deci...
This article was written by James Le. Some examples of tasks best solved by machine learning include: Recognizing patterns: Objects in real scenes, Facial identities or f...
I am pleased to announce that my quantum simulator Qubiter (available at GitHub, BSD license) now has a native TensorFlow Backend-Simulator (see its class `SEO_simulator_...
This is not very simple to choose a machine learning method and letting it go wild on the data. Particularly, understanding the core business problem and objective of the...
This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range, besides the u...