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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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Yan Chen - Transformer: Attention by hand ✍️

Is it useful to you

📂 Tags: #ML #TRANSFORMER

http://t.me/codeprogrammer ⭐️
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Transformer: Multi-Head Attention

Math vs Code 👨‍💻

I made this visualization to show you how to implement the multi-head attention math in PyTorch within 50 LoC.

Multi-Head Attention is what makes the Transformer's performance outstanding.

Is it useful to you

📂 Tags: #ML #TRANSFORMER

http://t.me/codeprogrammer ⭐️
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📹 3blue1brown presented the shortest and most understandable lecture on neural networks!

In the new episode, he talks about the mechanism of attention and transformers. The lecture has become even more concise and exciting!

Ideal for absolute beginners and even those who are far from technical.

The author managed to explain the key aspects of the neural network in just 9 minutes using bright graphics and simple examples.

📌 Original

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

http://t.me/codeprogrammer ⭐️
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📕 Python Basics Made Simple!

📷 Course: AI Python for Beginners

👨‍💻 Instructor: Andrew Ng

In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey.

Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

http://t.me/codeprogrammer ⭐️
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💠 All free Kaggle courses for data science
📁 Along with the course completion certificate

Python ⬅️ link

An introduction to machine learning ⬅️ link

Pandas ⬅️ link

Medium machine learning ⬅️ link

Data visualization ⬅️ link

Feature engineering ⬅️ link

An introduction to the SQL language ⬅️ link

Advanced SQL language ⬅️ link

An introduction to deep learning ⬅️ link

Computer vision ⬅️ link

Time series ⬅️ link

Data cleanup ⬅️ link

Geographical analysis ⬅️ link

Explainability of machine learning ⬅️ link

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

http://t.me/codeprogrammer ⭐️
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Python List Methods clearly Explained

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

http://t.me/codeprogrammer ⭐️
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🐱 7 of the best GitHub repos
To enter the world of data analysis and data science


1⃣ 100 Days of ML Code repo

✍️ A hundred-day program for learning and practicing machine learning coding.


🔢 Awesome Data Science repo

✍️ A curated list of great data science resources such as books, software, and tools.


🔢 Data Science for Beginners repo

✍️ A repository from Microsoft that has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.


🔢 Data Science Interviews Repo

✍️ A repository of questions and answers for science job interviews.


🔢 ML Technical Interviews repo

✍️ A good guide for machine learning and artificial intelligence technical interviews.


🔢 ML Interviews repo

✍️ A repository containing machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.


🔢 Data Science Python Notebooks repo

✍️ A collection of notebooks in various fields of data science such as deep learning, machine learning, data analysis and Python topics.

📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer

http://t.me/codeprogrammer ⭐️
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