Synthetic Data

Explainable AI Featured Posts Machine Learning Podcasts Synthetic Data

Explainable AI, Blackboxes and Synthetic Data

In this 45 minutes podcast hosted by Ben Cole, Executive Editor at TechTarget, Vincent Granville, founder of MLTechniques.com and Executive ML Scientist, discusses the following topics: This podcast comes with two attachments (videos) that further illustrate the problems discussed: In this Q&A, Vincent offers solutions to problems such as creating rich and meaningful synthetic data, […]

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New Book: Intuitive Machine Learning and Explainable AI

Intuitive Machine Learning with focus on explainable AI, human-friendly intelligence, powerful visualizations and applications. By Vincent Granville Ph.D, published in September 2022. PDF format, 156 pages. Version 1.0 with Python code. The book is available here. For my upcoming course based on this book, see here. This book covers the foundations of machine learning, with modern […]

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Machine Learning Cloud Regression: The Swiss Army Knife of Optimization

Entitled “Machine Learning Cloud Regression: The Swiss Army Knife of Optimization”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Many machine learning and statistical techniques exist as seemingly unrelated, disparate algorithms designed and used by practitioners from various fields, under various names. Why learn 50 types of regressions when […]

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Weird Random Walks: Synthetizing, Testing and Leveraging Quasi-randomness

Entitled “Weird Random Walks: Synthetizing, Testing and Leveraging Quasi-randomness”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. I discuss different types of synthetized random walks that are almost perfectly random, in one and two dimensions. Besides the theoretical interest, it provides new modeling tools, especially for physicists, engineers, natural […]

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Synthetic Data in Machine Learning: What, Why, How?

In this episode, Nicolai Baldin (CEO) and Simon Swan (Machine Learning Lead) of Synthesized are welcoming the founder of Data Science Central and MLTechniques.com Vincent Granville to discuss synthetic data generation, share secrets about Machine Learning on synthetic data, key challenges with synthetic data, and using generative models to solve issues related to fairness and […]

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Detecting Subtle Departures from Randomness

Entitled “Detecting Subtle Departures from Randomness”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Figure 1 below shows two plots arising from two different, non-periodic pseudo-random sequences of +1 and -1 in about equal proportions, distributed seemingly randomly. The left one is associated to prime numbers, assumed to be […]

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2nd Edition of My Book Now Published, with Python Code

The book covers supervised classification, including fractal classification, as well as unsupervised clustering, using an innovative approach. Datasets are first mapped onto an image, then processed using image filtering techniques. I discuss the analogy with neural networks, comparing very deep but sparse neural networks, with standard networks. Sponsors The free distribution of our content would […]

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Fast Classification and Clustering via Image Convolution Filters

Subtitled “Alternative to Generative Mixture Models”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. I explain, with Python code and numerous illustrations, how to turn traditional tabular data into images, to perform both clustering and supervised classification using simple image filtering techniques. I also explain how to generalize the […]

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Fuzzy Regression: A Generic, Model-free, Math-free Machine Learning Technique

Some people climb Mount Everest solo in winter, with no oxygen. Some mathematicians prove difficult theorems using only elementary arithmetic. The proof, despite labeled as “elementary” is typically far more complicated than those based on advanced mathematical theory. The people accomplishing these feasts are very rare. Introduction For years, I have developed machine learning techniques […]

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Little Known Secrets about Interpretable Machine Learning on Synthetic Data

Entitled “Little Known Secrets about Interpretable Machine Learning on Synthetic Data”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This first article in a new series on synthetic data and explainable AI, focuses on making linear regression more meaningful and controllable. Includes synthetic data, advanced machine learning with Excel, […]

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