The truth about AI and why you should learn it - Computerphile explains
Skills:
ML Maths Basics90%Supervised Learning80%Unsupervised Learning70%CV Basics60%LLM Foundations50%
If you are into cybersecurity or any other field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.
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): https://youtu.be/iBouACLc-hw
Data Analysis Playlist: https://www.youtube.com/watch?v=NxYEzbbpk-4&list=PLzH6n4zXuckpfMu_4Ff8E7Z1behQks5ba
Neural Networks Playlist: https://www.youtube.com/watch?v=py5byOOHZM8&list=PLzH6n4zXuckoezZuZPnXXbvN-9jMFV0qh
Computer Vision Playlist: https://www.youtube.com/watch?v=C_zFhWdM4ic&list=PLzH6n4zXuckoRdljSlM2k35BufTYXNNeF
// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP
// COURSE //
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for-everyone
// PyTorch //
Github: https://github.com/pytorch
Website: https://pytorch.org/
Documentation: https://ai.facebook.com/tools/pytorch/
// Mike SOCIAL //
Twitter: https://twitter.com/_mikepound
YouTube: https://www.youtube.com/user/Comp
Watch on YouTube ↗
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Chapters (26)
Coming Up
0:45
Intro
1:10
Michael Pound introduction
2:49
Will AI take our jobs?
4:55
What is LaMDA?
8:38
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
🎓
Tutor Explanation
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