Books Machine Learning ML with Excel Visualization

Upcoming Books and Articles on

The future of machine learning and artificial intelligence. Here I share my roadmap for the next 12 months. While I am also looking for external contributors and authors to add more variety, my focus — as far as my technical content is concerned — is to complete the following projects and publish the material on this platform. All my blog posts will be available to everyone.

Read More
Explainable AI Machine Learning ML with Excel Synthetic Data Visualization

Computer Vision: Shape Classification via Explainable AI

Update: The technical report on this topic is now available in the Resources section, here. Look for the title “Classification of Shapes via Explainable AI” under Free Books and Articles. A central problem in computer vision is to compare shapes and assess how similar they are. This is used for instance in text recognition. Modern […]

Read More
Deep Learning Explainable AI Machine Learning Synthetic Data Visualization

Very Deep Neural Networks Explained in 40 Seconds

Very deep neural networks (VDNN) illustrated with data animation: a 40 second video, featuring supervised learning, layers, neurons, fuzzy classification, and convolution filters. It is said that a picture is worth a thousand words. Here instead, I use a video to illustrate the concept of very deep neural networks (VDNN). I use a supervised classification […]

Read More
Books Explainable AI Featured Posts Machine Learning ML with Excel Statistical Science Stochastic Systems Synthetic Data Visualization

New Book: Stochastic Processes and Simulations

Introduction This scratch course on stochastic processes covers significantly more material than usually found in traditional books or classes. The approach is original: I introduce a new yet intuitive type of random structure called perturbed lattice or Poisson-binomial process, as the gateway to all the stochastic processes. Such models have started to gain considerable momentum […]

Read More