🔅 Introduction to Large Language Models
🌐 Author: Jonathan Fernandes
🔰 Level: Intermediate
⏰ Duration: 1h 5m
📗 Topics: Large Language Models
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🌀 Learn about large language models—what they are, what they can do, and how they work.
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🔅 Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python
🌐 Author: Gwendolyn Stripling
🔰 Level: Intermediate
⏰ Duration: 1h 56m
📗 Topics: Generative AI, Deep Learning, Python
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🌀 Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.
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Deep_Learning_and_Generative_AI:_Data_Prep,_Analysis,_and_Visualization.zip
250.7 MB
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🔅 Machine Learning and AI Foundations: Classification Modeling
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 2h 5m
📗 Topics: Machine Learning, Artificial Intelligence, Data Classification
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🌀 Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
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📖 Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
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04 - Deep QLearning Implementation - Part 01.zip
323.4 MB
04 - Deep QLearning Implementation - Part 01
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04 - Deep QLearning Implementation - Part 02.zip
297.3 MB
04 - Deep QLearning Implementation - Part 02
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04 - Deep QLearning Implementation - Part 03.zip
338 MB
04 - Deep QLearning Implementation - Part 03
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05 - Deep Convolutional QLearning Intuition.zip
70.2 MB
05 - Deep Convolutional QLearning Intuition
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06 - Deep Convolutional QLearning Implementation - Part 01.zip
326.2 MB
06 - Deep Convolutional QLearning Implementation - Part 01
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06 - Deep Convolutional QLearning Implementation - Part 02.zip
326.1 MB
06 - Deep Convolutional QLearning Implementation - Part 02
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