Category: 3-SometimeTechTalk

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Lex Fridman Podcast - #73 – Andrew Ng: Deep Learning, Education, and Real-World AI

Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.

EPISODE LINKS:
Andrew Twitter: https://twitter.com/AndrewYNg
Andrew Facebook: https://www.facebook.com/andrew.ng.96
Andrew LinkedIn: https://www.linkedin.com/in/andrewyng/
deeplearning.ai: https://www.deeplearning.ai
landing.ai: https://landing.ai
AI Fund: https://aifund.ai/
AI for Everyone: https://www.coursera.org/learn/ai-for-everyone
The Batch newsletter: https://www.deeplearning.ai/thebatch/

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

This episode is also supported by the Techmeme Ride Home podcast. Get it on Apple Podcasts, on its website, or find it by searching “Ride Home” in your podcast app.

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

OUTLINE:
00:00 – Introduction
02:23 – First few steps in AI
05:05 – Early days of online education
16:07 – Teaching on a whiteboard
17:46 – Pieter Abbeel and early research at Stanford
23:17 – Early days of deep learning
32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund
33:23 – deeplearning.ai: how to get started in deep learning
45:55 – Unsupervised learning
49:40 – deeplearning.ai (continued)
56:12 – Career in deep learning
58:56 – Should you get a PhD?
1:03:28 – AI fund – building startups
1:11:14 – Landing.ai – growing AI efforts in established companies
1:20:44 – Artificial general intelligence

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Code Story: Insights from Startup Tech Leaders - S2 E2: Zach Moreno, Squadcast

Zach Moreno is quite the renaissance man, being an artist, designer, author, developer… and a loving husband. He has interned on the Chrome team at Google, building extensions of DevTools and as a big believer in AngularJS, he wrote a book about deployment essentials of the language. After attempting to record a sci-fi drama, he found that the conventional remote audio recording tools didn’t produce a good quality recording… so much so, that he decided to build SquadCast – the best way for podcasters to record awesome sounding remote conversations.


Today’s sponsors:

Podcorn (https://podcorn.com/podcasters)


Links


Leave us a review on Apple Podcasts!


Amazing tools we use:

  • If you want the best publishing platform for your podcast, with amazing support & people – use Transistor.fm.
  • Want to record your remote interviews with class? Then, you need to use Squadcast.
  • Code Story uses the 1-click product ClipGain, sign up now to get 3hrs of podcast processing time FREE!


Credits: Code Story is hosted and produced by Noah Labhart, Co-produced and edited by Bradley Denham. Be sure to subscribe on Apple Podcasts, Spotify, Pocket Casts, Google Play, Breaker, YouTube, or the podcasting app of your choice.



Our Sponsors:
* Check out Vanta: https://vanta.com/CODESTORY


Support this podcast at — https://redcircle.com/code-story/donations

Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy
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The Stack Overflow Podcast - Coaching A Developer Interview

Paul and Sara walk us through the teetering tower of abstraction. Ben still hasn't mastered a single language, so it's a tough for him to know if it's better to start with the difficult fundamentals or stay in the simplified sandbox.

Flatiron tries to teach developers how to code, but also how to communicate. Every student has to do some public writing or speaking about their education. We check out Human Readable Magazine and the painfully honest Reddit thread of early reviews.

Rebekah tries to coach Ben through a mock interview for a junior web developer position. A torrent of word salad ensues. Paul and Sara show no mercy.

New York City parking meters aren't the only systems being taken down by calendar bugs. We chat about the delightful Twitter thread on Y2038.

You can follow Rebekah here and learn more about The Flatiron School here.

 

Posted on

The Stack Overflow Podcast - Coaching A Developer Interview

Paul and Sara walk us through the teetering tower of abstraction. Ben still hasn't mastered a single language, so it's a tough for him to know if it's better to start with the difficult fundamentals or stay in the simplified sandbox.

Flatiron tries to teach developers how to code, but also how to communicate. Every student has to do some public writing or speaking about their education. We check out Human Readable Magazine and the painfully honest Reddit thread of early reviews.

Rebekah tries to coach Ben through a mock interview for a junior web developer position. A torrent of word salad ensues. Paul and Sara show no mercy.

New York City parking meters aren't the only systems being taken down by calendar bugs. We chat about the delightful Twitter thread on Y2038.

You can follow Rebekah here and learn more about The Flatiron School here.

 

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Lex Fridman Podcast - #72 – Scott Aaronson: Quantum Computing

Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally.

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

This episode is also supported by the Techmeme Ride Home podcast. Get it on Apple Podcasts, on its website, or find it by searching “Ride Home” in your podcast app.

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

00:00 – Introduction
05:07 – Role of philosophy in science
29:27 – What is a quantum computer?
41:12 – Quantum decoherence (noise in quantum information)
49:22 – Quantum computer engineering challenges
51:00 – Moore’s Law
56:33 – Quantum supremacy
1:12:18 – Using quantum computers to break cryptography
1:17:11 – Practical application of quantum computers
1:22:18 – Quantum machine learning, questionable claims, and cautious optimism
1:30:53 – Meaning of life

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PHPUgly - 178:RawBusiness

This week, Eric, Thomas, and John discuss some on the tougher days of running a small development business. They also talk about Eric's excitement over AlpineJS and Livewire. They also discuss Eric's effort to get CouchDB working with the Sushi package feeding directly into a Laravel Model. Also, is there a new HTTP client in development for the next release of Laravel? 

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Lex Fridman Podcast - Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times.

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

00:00 – Introduction
02:55 – Alan Turing: science and engineering of intelligence
09:09 – What is a predicate?
14:22 – Plato’s world of ideas and world of things
21:06 – Strong and weak convergence
28:37 – Deep learning and the essence of intelligence
50:36 – Symbolic AI and logic-based systems
54:31 – How hard is 2D image understanding?
1:00:23 – Data
1:06:39 – Language
1:14:54 – Beautiful idea in statistical theory of learning
1:19:28 – Intelligence and heuristics
1:22:23 – Reasoning
1:25:11 – Role of philosophy in learning theory
1:31:40 – Music (speaking in Russian)
1:35:08 – Mortality

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PHPUgly - 177: Grasping for Relevance