Check Out Our New Blog Posts!

I am happy to announce our partnership with Learn Crunch. I will offer my new course, based on the book "Intuitive Machine Learning and Explainable AI" published last month, on their platform. Kirk Borne, consistently ranked as the top influencer in machine learning, also offers his new course "Applied Machine Learning" on the same platform, starting in less than a month. You can check it out here. Mine is described here and will start later in January. Both are online with live sessions. My book on intuitive machine learning is available here.

Below are the most recent blog posts on MLT. To access the content offered exclusively to subscribers (see here), use the password MLT12289058.

What is a Data Video, How to Produce One in Python, and Why

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 shows how to produce a …

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Top 30 Machine Learning Influencers to Follow in 2023

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 LinkedIn profile. We will include …

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Video: Introduction to Machine Learning

Video: Introduction to Machine Learning
This 30 minutes video features my interview about the upcoming course "Intuitive Machine Learning and Explainable AI", based on my new book with the same title. The course is described here, and to book is available here. Course participants get a free copy of the book. Both the course and the book include a solid introduction to scientific computing in …

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Course: Intuitive Machine Learning

Course: Intuitive Machine Learning
This course is based on my book "Intuitive Machine Learning and Explainable AI", available here. Participants will receive a free copy of this book. To register, follow this link. To receive updates about my future courses, sign-up to my newsletter, here. The information below provides a brief overview of the course. See also my video presentation, here. Course Description Solid machine learning …

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Machine Learning Dictionary

Machine Learning Dictionary
Top entries are in bold, and sub-entries are in italics. This dictionary is from my new book "Intuitive Machine Learning and Explainable AI", available here and used as reference material for the course with the same name (see here). These entries are cross-referenced in the book to facilitate navigation, with backlinks to the pages where they appear. The index, also …

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Explainable AI, Blackboxes and 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: Synthetic data design techniques, and how to identify business processes where most useful How to test the quality of synthetic data The benefits, and potential detriments, of explainable AI Common modern enterprise data issues, …

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New Book: Intuitive Machine Learning and Explainable AI

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 approaches to solving complex problems. …

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