🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available

.

All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

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Introduction to Qdrant (Vector Database) Using Python [EN]

⭐️ Tags: 
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😉 A list of the best YouTube videos
✅ To learn data science


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📎 Starting your first SQL project

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💰 How to crack the SQL interview?

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2️⃣ Python


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💰 12-hour Python for Data Science course

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💰 Python project for beginners

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💰 7-hour course in applied statistics

💰 Machine Learning Training Playlist

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4️⃣ Product and business case studies


⬅️ Learning

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⬅️ Interview

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📺 12 comprehensive playlists to master
⬅️ machine learning, deep learning, and GenAI!


👨🏻‍💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.


😉 Machine Learning Basics (39 videos)

😉 Python for ML (9 videos)

😉 Optimization for ML (5 videos)

😉 Machine Learning with Practical Exercises (37 videos)

😉 Building Decision Trees from Scratch (13 videos)

😉 Building Neural Networks from Scratch (35 videos)

😉 Graph Neural Networks (6 videos)

😉 Computer Vision from Scratch (19 videos)

😉 Building LLM from Scratch (43 videos)

😉 Reasoning in LLMs from Scratch (22 videos)

😉 Building DeepSeek from Scratch (29 videos)

😉 Machine Learning in Production Environment (6 videos)



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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

What you will learn :

The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.

⚡ tags: #python #datascience

🖥 By: https://xn--r1a.website/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

⚡ tags: #python #datascience #ai

🖥 By: https://xn--r1a.website/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️