What Comes After Deep Learning
Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the leading contenders for that next… Read More »What Comes After Deep Learning
Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the leading contenders for that next… Read More »What Comes After Deep Learning
It can be difficult to know what to expect when going for an interview. Data Science interviews will require candidates to answer technical questions, and… Read More »5 Common Non-Technical Interview Questions… and Answers
I found this on Facebook, but it could be 30 years old. Not sure who the original author was, but the quality was very poor,… Read More »Traditional Programming versus Machine Learning, in One Picture
My new book has been launched today: AI and Analytics : Accelerating Business Decisions.. The new normal in enterprise strategy and transformation Introducing, the first… Read More »New Book: AI and Analytics – Accelerating Business Decisions
Working 24 hours a day, 365 days a year across more than 130 countries, Woebot is undoubtedly a busy therapeutic chatbot. The good news is that Woebot… Read More »Woebot — World's First Mental Health Chatbot
The term “technical analysis” usually refers to the study of stock prices. A technical analyst might use real-time or closing prices of stocks to predict… Read More »Technical Deconstruction
This is an AI related post on the nature and philosophy of intelligence. In the various fields that study the mind, human or otherwise, there… Read More »What is intelligence?
The use of formal statistical methods to analyse quantitative data in data science has increased considerably over the last few years. One such approach, Bayesian… Read More »Basics of Bayesian Decision Theory
The majority of industry and academic numeric predictive projects deal with deterministic or point forecasts of expected values of a random variable given some conditional… Read More »Probabilistic Forecasting: Learning Uncertainty
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and solve problems… Read More »Swarm Optimization: Goodbye Gradients