New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner. The following chapters are currently available: Foreword Chapter 1: Introduction Part I...
Design is very easy to comprehend when you are building customer-centric products or services. Heck, it makes total sense to start from the customer perspective and to us...
Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulti...
Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey T...
This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural n...
This article was written by Nam Vu on GitHub. What is it? This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine l...
Big data and AI are joined at the hip: the best AI applications require massive amounts of constantly updated training data to build state-of-the-art models. Increasingly...
Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While t...
Introduction Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, ...
You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms...