🔥 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: 
#PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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


1️⃣ SQL language


⬅️ Learning

💰 4-hour SQL course from zero to one hundred

💰 Window functions tutorial

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📎 Starting your first SQL project

💰 Data cleansing project

💰 Restaurant order analysis

⬅️ Interview

💰 How to crack the SQL interview?

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2️⃣ Python


⬅️ Learning

💰 12-hour Python for Data Science course

⬅️ Projects

💰 Python project for beginners

💰 Analyzing Corona Data with Python

⬅️ Interview

💰 Python interview golden tricks

💰 Python Interview Questions

➖➖➖

3️⃣ Statistics and machine learning


⬅️ Learning

💰 7-hour course in applied statistics

💰 Machine Learning Training Playlist

⬅️ Projects

💰 Practical ML Project

⬅️ Interview

💰 ML Interview Questions and Answers

💰 How to pass a statistics interview?

➖➖➖

4️⃣ Product and business case studies


⬅️ Learning

💰 Building strong product understanding

💰 Product Metric Definition

⬅️ Interview

💰 Case Study Analysis Framework

💰 How to shine in a business 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)



🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖
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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://t.iss.one/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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

⚡ tags: #python #datascience #ai

🖥 By: https://t.iss.one/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

🐍 10 Free Courses to Learn Python

👩🏻‍💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

📃A complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

📃A 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

📃Training with lots of real examples and exercises.


4⃣ Introduction to Python

📃Learn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

📃Learn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

📃Interactive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

📃Project-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

📃Step-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

📃A course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

📃University-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

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