🔅 Pair Programming with AI

🌐 Author: Morten Rand-Hendriksen
🔰 Level: Advanced

⏰ Duration: 1h 28m

🌀 Learn practical strategies and get hands-on practice on how to leverage AI tools to increase productivity and write better code.

📗 Topics: Pair Programming, Artificial Intelligence

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📱Machine Learning and Artificial intelligence
📱Pair Programming with AI

🔅 Applied Machine Learning: Ensemble Learning

🌐 Author: Derek Jedamski
🔰 Level: Intermediate

⏰ Duration: 2h 25m

🌀 Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.

📗 Topics: Applied Machine Learning

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📱Machine Learning and Artificial intelligence
📱Applied Machine Learning: Ensemble Learning

🧠 Machine Learning Roadmap

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 😎

🔅 Introduction to MLSecOps

🌐 Author: Diana Kelley
🔰 Level: Intermediate

⏰ Duration: 1h 2m

🌀 Learn how to build security into your machine learning and AI lifecycles with MLSecOps.

📗 Topics: MLOps, Security Operations, Machine Learning

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📱Machine Learning and Artificial intelligence
📱Introduction to MLSecOps

🔅 Artificial Intelligence Foundations: Neural Networks

🌐 Author: Gwendolyn Stripling
🔰 Level: Beginner

⏰ Duration: 1h 45m

🌀 Learn the fundamental techniques and principles behind artificial neural networks.

📗 Topics: Neural Networks, Artificial Neural Networks

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📱Machine Learning and Artificial intelligence
📱Artificial Intelligence Foundations: Neural Networks

🔅 Artificial Intelligence Foundations: Thinking Machines

🌐 Author: Doug Rose
🔰 Level: Beginner

⏰ Duration: 1h 36m

🌀 Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

📗 Topics: Machine Learning, Artificial Intelligence

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📱Machine Learning and Artificial intelligence
📱Artificial Intelligence Foundations: Thinking Machines

💸 10 Steps of Machine Learning