11 - LLMs Implementation - Part 01.zip
153.5 MB
11 - LLMs Implementation - Part 01
11 - LLMs Implementation - Part 02.zip
247.7 MB
11 - LLMs Implementation - Part 02
11 - LLMs Implementation - Part 03.zip
217.7 MB
11 - LLMs Implementation - Part 03
11 - LLMs Implementation - Part 04.zip
114.6 MB
11 - LLMs Implementation - Part 04
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🔅 Pair Programming with AI
🌐 Author: Morten Rand-Hendriksen
🔰 Level: Advanced
⏰ Duration: 1h 28m
📗 Topics: Pair Programming, Artificial Intelligence
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🌀 Learn practical strategies and get hands-on practice on how to leverage AI tools to increase productivity and write better code.
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🔅 Applied Machine Learning: Ensemble Learning
🌐 Author: Derek Jedamski
🔰 Level: Intermediate
⏰ Duration: 2h 25m
📗 Topics: Applied Machine Learning
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🌀 Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
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Getting into neural networks: a massive, detailed Deep Learning textbook has been released 💬
Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link😎
Inside you'll find everything essential about models: what transformers are, how image generation works, and much more. To reinforce the learning, there are 60 exercises in Python Notebook available on the website — link
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🔅 Introduction to MLSecOps
🌐 Author: Diana Kelley
🔰 Level: Intermediate
⏰ Duration: 1h 2m
📗 Topics: MLOps, Security Operations, Machine Learning
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🌀 Learn how to build security into your machine learning and AI lifecycles with MLSecOps.
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