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 […]
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Internship at MLtechniques: Code Translation
Interested in working 100% remotely for a fast paced digital company in the AI field? We offer off-the-beaten-path opportunities to machine learning experts, software engineers and beginners. Check out all our current openings, here. Internship: Code Translation Short-term project, under the guidance of Vincent Granville, with potential for more diversified work over a longer time […]
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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 […]
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Book Review: Probabilistic Machine Learning
By Kevin Murphy, MIT Press (2022). This is one of the best machine learning books that I purchased in the last few years. Very comprehensive, covering a lot of statistical science too. The level is never too high, despite a few advanced concepts being discussed. There is a lot of focus on applications, especially image […]
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Advanced Machine Learning with Basic Excel – Part 1
It is amazing what you can do with a simple tool such as Excel. In this series, I share some of my spreadsheets. They cover many topics, including multiple types of regression, model-free confidence intervals, resampling, an original technique known as hidden decision trees, scatter plots with multiple groups, advanced visualization techniques, and more. No […]
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