Announcements Big tech must weigh AI’s risks vs. rewards In an interview with the New York Times, Hinton noted the pace of AI advancement is far beyond what he and ...
Since starting my own AI / machine learning research lab over a year ago, I published 24 technical papers and 4 books, in addition to my articles on Data Science Central....
Given the current economy, with large companies laying off machine learning employees in droves, one may wonder if spending 4 years and over $80k in education is worth it...
Announcements Tech Layoffs and Uncertainty Raise Big Questions for Higher Education Mass layoffs continue across the tech industry, with tens of thousands of workers losi...
Announcements Show Your Work with XAI Recent generative AI developments have raised several questions as the products created around these new developments moved into the...
Like many managers in the corporate world, until recently I thought you should not use these tools. The common theme is that it’s for small projects or classroom pr...
Announcements New Books and Courses Explore Synthetic Data, ML Strategies MLtechniques released two new books recently. The first one, version 4.1 now, deals with synthet...
In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems. It also includes related time series and stochastic processes, rang...
Announcements Are Generative Adversarial Networks Really Useful? Such a question may seem as coming from a dinosaur, adverse to change. Or from someone selling traditiona...
Announcements Machine Learning Controversy: From No-Code to No-Math One controversial topic in machine learning circles is code versus no-code. Can you be a real data sci...
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning.