Show Notes:
- What is Machine learning? (07:50)
- TensorFlow.js application in Machine learning (09:20)
- Pre-requisites to getting started with M.L (10:35)
- How to approach M.L as a beginner(14:58)
- Difference between Machine learning, Artificial Intelligence (A.I) and Data science (D.S) (17:11)
- Languages and libraries peculiar to M.L (20:41)
- Benefits of going into M.L (20:50)
- Common challenges encountered while getting on with M.L (26:20)
- Technologies peculiar to M.L (28:56)
- Exciting products/platforms/technologies that make use of M.L models (31:28)
- Future of M.L in Africa (35:05)
- Get started with a new forLoop chapter in your city with Ore : ore@forloop.africa
Extra resources:
- Emotion recogniton application with TensorFlow.js - Ore Ogundipe
- Facial-Surveillance System for Restricted Zones - Ore Ogundipe
- Machine learning crash course - Google developers
- Women in MachineLearning and Data science, Lagos
intro and outro music: bensound - dubstep
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Host: @kolokodess
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