Empirical Optimization with Divergent Fixed Point Algorithm – When All Else Fails
Entitled “Empirical Optimization with Divergent Fixed Point Algorithm – When All Else Fails”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Also discussed in details with Python code in my book “Synthetic Data”, available here. While the technique discussed here is a last resort solution when all else fails, it is […]
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Podcast: Synthetic Data – Importance, Misconceptions and Applications
Hosted by Victor Chima, co-founder at Learncrunch.com. Guest speaker: Vincent Granville, Ph.D. Vincent created Data Science Central (acquired by TechTarget), one of the most popular online communities for Data Science and Machine Learning. He spent over 20 years in the corporate world at Microsoft, eBay, Visa, Wells Fargo, and others, holds a Ph.D. in Mathematics […]
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Course: Synthetic Data and Interpretable Machine Learning
This live course is based on my book “Synthetic Data”, available here. Participants will receive a free copy of this book. The information below provides a brief overview of the course. For enrollment or inquiries, follow this link. Course Description The course provides an overview of modern data generation techniques, and how they can be derived […]
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New Book: Synthetic Data
Synthetic data is used more and more to augment real-life datasets, enriching them and allowing black-box systems to correctly classify observations or predict values that are well outside of training and validation sets. In addition, it helps understand decisions made by obscure systems such as deep neural networks, contributing to the development of explainable AI. […]
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Spectacular Videos: Synthetic Universes, with Star Collision Graph
Entitled “Spectacular Videos: Synthetic Universes, with Star Collision Graph”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Also discussed in details with Python code in my book “Synthetic Data”, available here. This project started as an attempt to generate simulations for the three-body problem in astronomy: studying the orbits of three […]
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Dynamic Clouds and Landscape Generation: Morphing and Evolutionary Processes
Entitled “Dynamic Clouds and Landscape Generation: Morphing and Evolutionary Processes”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Also discussed in details with Python code in my book “Synthetic Data”, available here. My previous article focused on map generation in 3D, and also features a fascinating video, see here. In this […]
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12 Machine Learning Books You Should Read in 2023
This complements the list that I posted earlier under the title “Math for Machine Learning: 14 Must-Read Books”, available here. Many of the following books have a free PDF version, their own website and GitHub repository, and usually you can purchase the print version. Some are self-published, with the PDF version regularly updated, and even […]
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From 3D Contour Plots to AI-Generated Art
Fun tutorial to learn how to make professional contour plots in Python, with incredible animated visualizations. At the intersection of machine learning, scientific computing, automated art, cartography, and video games. Section 3 is particularly interesting, as it shows all the work behind the scene, to complete this project in 20 hours when you have no […]
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What is a Data Video, How to Produce One in Python, and Why
Watch this 6-min video, discussing one aspect of Explainable AI. It features a spectacular data video done in Python, applied to shape classification for meteorites, on synthetic data. This video is an extract from my course “Intuitive Machine Learning and explainable AI”, available here, based on the book with same title, available here. This video […]
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Top 30 Machine Learning Influencers to Follow in 2023
This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education and professional experience, as well as recent activity. To submit an entry, email us at vincentg@MLTechniques.com, with the name of the candidate, a short bio, and a link to his/her […]
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