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

- School of AI - Siraj Raval 

- Machine learning crash course - Google developers

- Ai Saturdays Lagos

- Women in MachineLearning and Data science, Lagos

intro and outro music: bensound - dubstep

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Host: @kolokodess