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Intro
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Classroom Contents
ML and the IoT - Living on the Edge
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- 1 Intro
- 2 Zeke
- 3 Washing Machine
- 4 ML vs Deep Learning
- 5 The Streetlight Problem
- 6 Human vs Machine Learning
- 7 Discipline of Machine Learning
- 8 Machine Learning Tools
- 9 Example
- 10 Train predict tune loop
- 11 Train predict model
- 12 Train predict classifier
- 13 Deployment
- 14 Pretrained APIs
- 15 Azure Face API
- 16 Cloud vs Local Performance
- 17 The IoT is the source of data
- 18 Volume
- 19 The problem
- 20 The solution
- 21 What we want
- 22 What does this look like
- 23 What you get instead
- 24 Google Coral
- 25 Google Coral Demo
- 26 IoT
- 27 Raspberry Pie
- 28 Lowcost ML
- 29 Microcontrollers
- 30 Federated Learning
- 31 Three Big Things
- 32 Single Board Computers
- 33 Tensorflow Light
