Overview
Syllabus
Introduction.
Overview of what's in this show and next one.
What is AI, Machine Learning and Deep Learning?.
Hardest part is to choose the correct algorithm.
How do you know you have enough data for deep learning?.
What is "big data"?.
Does neural networks accurately simulate neurons?.
​Is deep learning coming closer to strong AI already?.
Can I write AI code only using C#?.
What are the AI tools using for tracking system in Car / taxi businesses?.
Is Microsoft planning something big on AI? https://aka.ms/IgniteDataAI.
Windows 11.
Advancements in AI in diagnostic medicine.
How to get started with AI using Python?.
Demo: follow along at https://aka.ms/LearnKeras.
Is there any blog or tutorial that is about ML for voice and text?.
What is bounded least squares algorythm?.
Back to how you choose which method question: https://bea.stollnitz.com/blog/.
Making prediction.
Summary.
Taught by
Microsoft Developer