High-value AI and Machine Learning Certifications Under $50
If you thought certifications and training for advanced AI/Machine Learning specializations was out of reach due to the steep price, prerequisites and time commitment, read on. MLtechniques.com now offers two paths to certification: Automatic qualification for busy professionals with 2+ years of relevant industry experience and fluent in analyzing data. Read more here to see […]
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Autonomous Driving: Boosting Optical Flow with Synthetic Data
Optical flow is defined as the task of estimating per-pixel motion between video frames. Optical flow models take two sequential frames as input and return as output a flow vector that predicts where each pixel in the first frame will be in the second frame. Optical flow is an important task for autonomous driving, but […]
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Massively Speed-Up your Learning Algorithm, with Stochastic Thinning
Dramatically Speed-Up your Learning Algorithm, with Stochastic Thinning. Includes use case, Python code, regression and neural network illustrations.
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Data Synthetization: enhanced GANs vs Copulas
Using case studies, I compare generative adversarial networks (GANs) with copulas to synthesize tabular data. I discuss back-end and front-end improvements to help GANs better replicate the correlation structure present in the real data. Likewise, I discuss methods to further improve copulas, including transforms, the use of separate copulas for each population segment, and parametric […]
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Data Synthetization Explained in One Picture
The diagram is organized as follows. Dashed blue lines are associated to GANs (generative adversarial networks), where the goal is to produce a sequence of synthetic datasets that get better and better at mimicking the structure present in the real data, over successive iterations. The diagram features 5 such iterations, with the synthetized datasets denoted […]
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Random Walks, Brownian Motions, and Related Stochastic Processes
Entitled “Random Walks, Brownian Motions, and Related Stochastic Processes”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This article is an extract from my book “Gentle Introduction to Chaotic Dynamical Systems”, available here. In about 15 pages, this scratch course covers a lot more material than expected in such […]
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New Book on Synthetic Data: Version 3.0 Just Released
Update on March 3, 2023: Version 4.0 has been released and now replaces version 3.0 on the e-Store. It contains a new full chapter on enhanced generative adversarial networks (GANs) with comparison to copula-based methods for data synthetization, with illustrations on real-life datasets. The book has considerably grown since version 1.0. It started with synthetic […]
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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 and Generative AI – Importance, Misconceptions and Applications
Fireside chat: Synthetic data – importance, misconceptions and applications In this video, Vincent talks about how synthetic data can be leveraged across various industries to enhance predictions and test blackbox systems leading to more fairness and transparency in AI. Hosted by Victor Chima, co-founder at Learncrunch.com. Topics discussed include: To learn more about synthetic data […]
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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. To be notified about our next live classes, sign-up to our newsletter. Currently, the course is offered via our certification program, described here. Course Description […]
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