GDPR and AI – strategies and options in a nutshell
I had the pleasure to meet @KirkDBorne last week and participate in a panel moderated by Kirk – Decoding #GDPR, #IoT, and #UX in the #BigData world: discussing #AI ...
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Weighted Linear Regression in R
If you are like me, back in engineering school you learned linear regression as a way to “fit a line to data” and probably called in “least squares”. You probab...
What Comes After Deep Learning
This article is by Bill Vorhies. Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the leading co...
The R Medicare Factor
Several years ago, I came across a report that led me to a new data set revolving on Medicare payment and utilization for physicians and other health care providers. ...
New Book: AI and Analytics – Accelerating Business Decisions
My new book has been launched today: AI and Analytics : Accelerating Business Decisions.. The new normal in enterprise strategy and transformation Introducing, the first ...
Woebot — World's First Mental Health Chatbot
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 recently secured ...
Technical Deconstruction
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 future pri...
Probabilistic Forecasting: Learning Uncertainty
The majority of industry and academic numeric predictive projects deal with deterministic or point forecasts of expected values of a random variable given some conditiona...
Swarm Optimization: Goodbye Gradients
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and...
Credit Risk Prediction Using Artificial Neural Network Algorithm
1 Introduction Credit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has ...