Learn AI for Free! Computerphile explains hype vs reality and how to get started.
AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better job? In this interview with Dr Michael Pound we discuss hype vs reality and get a quick start guide on how to learn AI.
// MENU //
00:00 - Coming Up
00:45 - Intro
01:10 - Michael Pound introduction
02:49 - Will AI take our jobs?
04:55 - What is LaMDA?
08:38 - Can Python functions get lonely?
11:26 - The definition of “sentience“
11:59 - AI vs Machine Learning
18:48 - Neural Networks
19:49 - Malware example
21:59 - Stochastic Gradient Descent
22:30 - Supervised learning
23:45 - Unsupervised learning
26:03 - Reinforcement learning
27:35 - Are the robots taking over?
30:14 - What is AI really good at?
33:28 - Definition of Deep Learning
35:37 - Neural Networks
36:53 - What to learn
40:50 - Using PyTorch
43:52 - Google colab
44:48 - Study recommendations
46:16 - The demand for AI skills
48:15 - Teaching cyber security
50:06 - Final Advice
55:09 - Conclusion
// Video mentions //
ComputerPhile (lambda is not sentient):
Data Analysis Playlist:
Neural Networks Playlist:
Computer Vision Playlist:
// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville:
// COURSE //
AI For Everyone by Andrew Ng:
// PyTorch //
Github:
Website:
Documentation:
// Mike SOCIAL //
Twitter:
YouTube:
Website:
// David SOCIAL //
Discord:
Twitter:
Instagram:
LinkedIn:
Facebook:
TikTok: @davidbombal
YouTube:
// MY STUFF //
// SPONSORS //
Interested in sponsoring my videos? Reach out to my team here: sponsors@
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