Python | Machine Learning | Coding | R
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Discover powerful insights with Python, Machine Learning, Coding, and R—your essential toolkit for data-driven solutions, smart alg

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Must watch "AI Engineer YouTube Playlist"

1. Neural Networks Zero to Hero (Karpathy) - https://lnkd.in/gBVSQqFf

2. Language Modelling from Scratch (Stanford CS336 2025) - https://lnkd.in/guuhQ8gA

3. Introduction to Deep Learning (MIT 6.S191 2025) - https://lnkd.in/ggBB_aCm

4. Introduction to Transformers (Talk - Andrej Karpathy) - https://lnkd.in/gYMTVVmH

5. Building LLMs (Stanford CS229 Guest Lecture) - https://lnkd.in/gP9xqXxi

6. Deep Dive into LLMs like ChatGPT - https://lnkd.in/gtZ9BAdA

7. Let’s Build GPT from Scratch - https://lnkd.in/gdNj7_Tw

8. Agentic AI by Stanford - https://lnkd.in/gknxmPQG

9. Transformers and Self-Attention - https://lnkd.in/gvZZtciU

https://t.me/CodeProgrammer ✈️
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DS INTERVIEW.pdf
16.6 MB
800+ Data Science Interview Questions – A Must-Have Resource for Every Aspirant

Breaking into the data science field is challenging—not because of a lack of opportunities, but because of how thoroughly you need to prepare.

This document, curated by Steve Nouri, is a goldmine of 800+ real-world interview questions covering:
-Statistics
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-Deep Learning
-Python & R
-Model Evaluation & Optimization
-Deployment Strategies
…and much more!

https://t.me/CodeProgrammer 🔰
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Top 140 PyTorch Interview Questions and Answers

This comprehensive guide covers essential PyTorch interview questions across multiple categories, with detailed explanations for each.these 140 carefully curated questions represent the most important concepts you'll encounter in #PyTorch interviews.

🧠 Part 1: https://hackmd.io/@husseinsheikho/pytorch-interview

https://t.me/CodeProgrammer
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