Machine Learning with Python

Google has updated its AI service NotebookLM, and this could really revolutionize online education.

Previously, the tool could create text summaries and podcast lessons from documents and links. Now there is a new feature — turning an article or documentation into a full video analysis. 😦

In the demo, Google showed how a regular article about JavaScript functions from MDN was transformed into a structured video review in seconds.

With this approach, learning becomes easier, more accessible, and more visual. It looks like a new era in online education is coming.

Try it: notebooklm.google

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everyone says they want to understand LLMs.
this repo makes you prove it.

https://github.com/rasbt/LLMs-from-scratch

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A new guide for preparing for technical developer interviews has been released. 😳

It covers key topics: design patterns, application architecture, best practices and clean code principles, algorithms and data structures, as well as typical questions on languages and technologies

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𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗳𝗼𝗿 𝗝𝗼𝗯 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀.

In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you can’t demonstrate this during an interview, expect to hear, “We’ll get back to you.”

The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.

She designed proper documentation/a book for common ML interview questions.

Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but don’t yet know the differences among those titles.Check the comment section for links and repos.

📌 link:
https://huyenchip.com/ml-interviews-book/

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🔥 Trending Repository: free-programming-books

📝 Description: 📚 Freely available programming books

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🌐 Website: https://ebookfoundation.github.io/free-programming-books/

📖 Readme: https://github.com/EbookFoundation/free-programming-books#readme

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🧠 By: https://t.me/DataScienceM

Eye control with Python

EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.

The JavaScript version allows running everything directly in the browser.

Installation:

$ git clone https://github.com/NativeSensors/EyeGestures.git
$ cd EyeGestures
$ pip install -r requirements.txt

or

python3 -m pip install eyeGestures

Open source code, documentation, and usage examples - click

👉 https://t.me/DataScienceN

This GitHub repo is a gold mine for EVERY data scientist!

DS Interactive Python repo has interactive dashboards to learn statistics, ML models, and other DS concepts.

Topics include PCA, bagging & boosting, clustering, neural networks, etc.

Fully open-source and free!
https://github.com/GeostatsGuy/DataScienceInteractivePython

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📌 How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe

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One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:

1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models

➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/

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30+ Power BI Interview Questions to Land Your Job!

Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!

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Let's Learn MCP with Python - Tutorial Series

Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.

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🧠 By: https://t.me/DataScienceN