ML-001 From Facebook| Into The AI Context 🤖

Transcript

1. Into The AI Context
4. Richard Feynman There's a big difference between knowing the name of something and knowing something.
5. The Context
6. Learning and Problem solving
 reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects, social intel, creativity What is AI | ML
7. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy and many others. Interdisciplinary
8. ANI, AGI, ASI
12. “I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.” – Andrew Ng The new electricity And
 AI-first Business
13. What’s needed?
14. Product Data Users
15. AI as a Feature vs as a Product
16. Blue River Technology, a startup that uses AI to automatically identify and spray herbicide on weeds. The price of a 60-person farming AI startup? $305 million.
17. Existing & New Businesses
18. How To Find Ideas
19. Where Are You? HAS or VAS?
20. What Is An AI Company?
21. Jobs The New York Times estimates that there are only 10,000 people in the world right now with “the education, experience and talent needed” to develop the AI technologies
22. Open roles at top companies with the following aggregate net salaries: • Amazon: $227,769,001 • Google: $130,048,389 • Microsoft: $75,158,057 • Facebook: $38,636,827 • NVIDIA: $34,280,190
23. The Work Spectrum
24. Democratization of Tech Barrier to Entry
25. What’s Happening 1. Andrew Ng deeplearning.ai with Coursera
 2. Standford, MIT , Udacity and other MOOCs
 3. Google’s newMachine Learning Crash Course https://developers.google.com/machine-learning/crash-course/ 
 4. The many guide videoson Youtube
 5. This community initiative 

26. Richard Feynman It is imperative in science to doubt; it is absolutely necessary, for progress in science, to have uncertainty as a fundamental part of your inner nature. To make progress in understanding, we must remain modest and allow that we do not know.
28. AI & Machine Learning is A Game Of DATA ALGORITHMS
32. A Game Of Divide & Conquer
34. Case Study 1
36. How Does Siri Use AI • ASR (Automatic Speech Recognition), to transcribe human speech into text. • NLP to parse the transcribed text. • Intent Detection for the parsed text. • Integrate with Internal or 3rd Party Service to perform the action. • Transfer Output Into Natural Language Text. • Use Text To Speech Technologies to transform Natural Language Text into synthesized speech.
37. Case Study 2
42. AI Examples From Big Players • Google: (Search, Translation, NLP, Image Recognition, Image Enhancements, Ads, Google Assistants, Services) • Facebook: (Image Recognition, NLP, Ads) • Amazon: (AWS, Predicting Buyers Behaviour, Drone Deliveries, Alexa) • Apple: (IOS, Siri) • Netflix: (Analyzing & Recommendations)
43. AI Based Startups (Selected Examples): • SoundHound. • Woebot. • Chicisimo. • Thread.
44. QUESTIONS