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Making prediction
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Classroom Contents
Introduction to Deep Learning - Episode 34
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- 1 Introduction
- 2 Overview of what's in this show and next one
- 3 What is AI, Machine Learning and Deep Learning?
- 4 Hardest part is to choose the correct algorithm
- 5 How do you know you have enough data for deep learning?
- 6 What is "big data"?
- 7 Does neural networks accurately simulate neurons?
- 8 Is deep learning coming closer to strong AI already?
- 9 Can I write AI code only using C#?
- 10 What are the AI tools using for tracking system in Car / taxi businesses?
- 11 Is Microsoft planning something big on AI? https://aka.ms/IgniteDataAI
- 12 Windows 11
- 13 Advancements in AI in diagnostic medicine
- 14 How to get started with AI using Python?
- 15 Demo: follow along at https://aka.ms/LearnKeras
- 16 Is there any blog or tutorial that is about ML for voice and text?
- 17 What is bounded least squares algorythm?
- 18 Back to how you choose which method question: https://bea.stollnitz.com/blog/
- 19 Making prediction
- 20 Summary
