Machine Learning My Way (MLMW) and Models, Data, Tools and Productisation (MDTP) notes
MLMW and MDTP are the two collection of notes that describe the world of machine learning from the following angles:
- modelling concepts and techniques (the “formulas”),
- data analysis and control systems workflows (the “pipelines”)
- data acquisition, storage and operations (the “data”),
- computer science and software tools (the “code”),
- model and data productisation (the “money”),
- investor sentiment, society impacts and regulation (the “markets”)
Both collections are still incomplete, yet equipped with links to textbooks, reports, summary articles, industry cases and excercises. Only a limited number of passive learning resouces like videos or tutorials made it to the lists.
Get access and download
The collections are availale as a topic list, a longer guide and the website.
| Artifact | Intent | Link |
|---|---|---|
| MDTP topic list | A slim list of topics I wish I knew well (models, tools and productisation) | Access granted upon request. |
| The MLMW guide | A collection of topics with links and quotes. | Ealier public PDF or view online upon request. |
| Website | Best of MLMW | Browse at https://trics.me. |
Changelog
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