Newsletter Sign-up and Resources

The following content (books, articles, spreadsheets, source code, data sets, tutorials) also includes material available to subscribers only. We will continue to add a lot more in the coming months.

Shape classification with explainable AI (see “Free books/articles” section)

Newsletter Subscription

To access subscriber-only content, sign-up to our free monthly newsletter at the bottom of this page. You will receive an email with the password to access the material in question, listed on this page. This includes books, research articles, professional spreadsheets, original datasets, and more. You can unsubscribe at any time.

The monthly newsletter also features new blog posts, books and other resources added to MLTechniques.com in the last 30 days, and occasionally, discount codes for selected books and articles available on our e-Store.


Blog Posts

Blog posts are available from our home page, here. You can browse them by category. Featured articles are available here.


Free Books and Articles

When clicking on a “download” link, you get two options: view or download the file. The download option is much faster: the view option takes time to render all the fonts and pictures on the screen (up to 30 seconds for large documents). To get the full LaTeX source (for subscribers only), see section “Books and Articles with LaTeX source” at the bottom of this page.

If you already have a copy of some of these documents, check out the version. The most recent version is posted here.


For Subscribers Only

To open these PDF documents, use the password provided when signing-up or in any edition of our newsletter. Newsletter subscription is free. The summary is accessible to everyone.

  • Stochastic Processes and Simulations – A Machine Learning Perspective (with Python code, synthetic data generation and new fractal classification algorithms). June 2022, 96 pages. Read summary | Download PDF.
  • Statistics: New Foundations, Toolbox, and Machine Learning Recipes. July 2019, 309 pages. Read summary | Download PDF.
  • Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. June 2018, 104 pages. Read summary | Download PDF.

Books and Articles with LaTeX Source

For newsletter subscribers only. To download the zip files below, use the password provided when signing-up or in any edition of our newsletter. Each zip file contains the final PDF version, the LaTeX file (extension .tex), the Bib file (the references, extension .bib), and all the images. Keep all the files in the same folder. I used MikTeX to compile the tex files into PDFs. Feel free to re-use portions of my documents, such as text, figures, formulas, tables or references, in your reports, PhD thesis or articles. You may also customize the fonts (choosing 12pt rather than my 10pt) or any other features. Provide credit if you use my sources in your work, whether for private or commercial use.

The LaTeX source, especially for the books, is state-of-the-art, with index, glossary, navigation tools, links, back links, and so on. You may use it as templates for your own work. Also, you can easily copy and paste the Python code from the LaTeX source (the Python code is also available on my GitHub repository). The PDF links below are for the PDF version only. For the full version with LaTeX source, click on “Full version”.

Books
Articles
  • Classification and Clustering via Image Convolution Filters — Alternative to Generative Mixture Models. Full version [4.2 MB] | View PDF.
  • The Art of Visualizing High Dimensional Data. Full version [22.8 MB] | View PDF.
  • Gentle Introduction to Linear Algebra, with Spectacular Applications. Full version | View PDF.
  • Interpretable Machine Learning: Multipurpose, Model-free, Math-free Fuzzy Regression. Full version | View PDF.
  • Classification of Shapes via Explainable AI. Full version | View PDF.
  • Interpretable Machine Learning on Synthetic Data, and Little Known Secrets About Linear Regression. Full version | View PDF.