Master PyTorch Faster with These Free Resources!
Whether you're just getting started with PyTorch or looking to refresh your deep learning skills, these two resources are all you need:

1. PyTorch Cheatsheet
A concise reference guide packed with essential PyTorch commands and patterns. Perfect for quick look-ups during development.
Download:
https://www.dropbox.com/scl/fi/e4xngykrfoubiw3xnd6fz/PyTorch-Cheatsheet.pdf?rlkey=vgx38ckps7aie120imgozgq4g&e=2&st=hgs06d4t&dl=0

2. Learn PyTorch Deep Learning with Hands-On Code
A beginner-friendly PDF with practical examples to help you build and train deep learning models using PyTorch from scratch.
Download:
https://www.dropbox.com/scl/fi/lfo7r6fnd8wjm3gp0jteh/Learn-PyTorch-Deep-Learning-with-Hands-On-Code.pdf?rlkey=mg9cxg41yerouzp0rklm8hqa2&e=2&st=c7k7rgay&dl=0

Save them, share them, and start building smarter models today!

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Datasets Guide 📚

A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.

Importance:
Understanding how to properly handle datasets is a critical step in building accurate and efficient AI models. This guide simplifies the process, helping you avoid common pitfalls and optimize your data pipeline for better performance.

Link: https://docs.unsloth.ai/basics/datasets-guide

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Open Guide to Data Structures and Algorithms

A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.

Read it here:
https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms

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📕 A Course in Reinforcement Learning by Dimitri P. Bertsekas

Explore the comprehensive world of Reinforcement Learning (RL) with this authoritative textbook by Dimitri P. Bertsekas. This book offers an in-depth overview of RL methodologies, focusing on optimal and suboptimal control, as well as discrete optimization. It's an essential resource for students, researchers, and professionals in the field.

🔗 Download the book here:
https://web.mit.edu/dimitrib/www/RLCOURSECOMPLETE%202ndEDITION.pdf

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Gradio: The easiest way to demo your models.

- Core Idea: Quickly turn #ML models into interactive web apps.

- No frontend skills needed. It's all #Python.

- Works with any Python code, including custom functions.

- Share via temporary links or deploy on #HuggingFace Spaces.

- Get user feedback to improve your models.

If you're looking to create interactive demos for your ML project, check out #Gradio!

♻️ Repost if you found this useful

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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
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7️⃣ Deep Learning
8️⃣ programming Languages

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✅ https://t.me/Codeprogrammer

Loading CSV files into a database using Python.

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Title:
Master Machine Learning in Just 20 Days - Your Ultimate Guide! 🔥

Description:
Struggling to break into Data Science or ace ML interviews at top product-based companies?

This 20-day roadmap covers ML basics to advanced topics like tuning, deep learning, and deployment with top resources and practice questions!

What’s Inside:

✅ Supervised & Unsupervised Learning – Regression, Classification, Clustering
✅ Deep Learning & Neural Networks – CNNs, RNNs, LSTMs
✅ End-to-End ML Projects – Data Preprocessing, Feature Engineering, Deployment
✅ Model Optimization – Hyperparameter Tuning, Ensemble Methods
✅ Real-World ML Applications – NLP, AutoML, Scalable ML Systems

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By: t.me/HusseinSheikho ✅

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فرصة عمل عن بعد 🧑‍💻
لا يتطلب اي مؤهل او خبره الشركه تقدم تدريب كامل ✨
ساعات العمل مرنه  ⏰
يتم التسجيل ثم التواصل معك لحضور لقاء تعريفي بالعمل والشركه

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Four best-advanced university courses on NLP & LLM to advance your skills:

1. Advanced NLP -- Carnegie Mellon University
Link: https://lnkd.in/ddEtMghr

2. Recent Advances on Foundation Models -- University of Waterloo
Link: https://lnkd.in/dbdpUV9v

3. Large Language Model Agents -- University of California, Berkeley
Link: https://lnkd.in/d-MdSM8Y

4. Advanced LLM Agent -- University Berkeley
Link: https://lnkd.in/dvCD4HR4

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