Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips

Andrew is a genuinely good guy and an excellent teacher.

Excellent interview thank you!

Finally someone who says you dont need a phd in mathematics statistics electrical engineering and fucking physics. Ive been doing deep learning and data analytics for a bit with basic python amd mathematics and i agree fully with what Andrew started with

This guy Andrew has a sense of calmness and he is so humble. I did his beginner level AI 4 Everyone course and he is such a nice guy to hear to.

Thanks for sharing such interviews!! (:

I took Andrew's course on ML using Matlab 2 years ago, I hoped for something from him related to Python, and he made full specialization for it. Definitely taking the course as soon as I get some free time.

Hand written notes definitely increases retention.

GOAT podcast

Is it still worth learning now

I don't understand all the talk about "democratization of AI", Coursera-Courses and the general aura of how it is allegedly possible for everyone, who is willing to put some efford into the topic, to enter the field and get a job. I have taken the deep-learning specialization course, build some models, took part in Kaggle competitions, have a master degree in maths, learned a chunk of the more specialized maths that is used in AI but when I go and apply for a job they tell me: "Do You have a PHD? Do You have a proven record of success for at least the last 5 years? If not, we don't want to hear from You - please don't bother us, we have tons of applicants with the low level competence You have - we do not need them." - they might use more polite words but that's the essence and that's what they write in the job-descriptions. I am at the point of loosing interesst in AI because of that, plus the speed of development is so high that I cannot keep up anyway - so what I try to learn to day is already obsolete. Feels like I am trying to learn computer-chip-design with a book from the 60s, foolishly hoping to get to the point where I can finally contribute something. I have come to the conclusion that this field has become a playground for big money attracting some whizz-kids doing great things - so for mere mortals there is no place left. Am I alone with this?

I am taking this specialization on Coursera, this interview was so helpful.

Do this interview for an after Chat GPT take🎉

Amazing talk especially the latter half 👌👌 Thank you Andrew and Lex.

Prof. Andrew Ng has helped millions of students around the world by making his tutorials available to everyone on internet. Thank you!
PS: He is so right about getting stuck at a "reputed" company/university and where you don't enjoy what you're doing.

Andrew ng is the person who made me fall in love with the subject. Me from a biology background started his coursera just for a small project with no background in maths and code. The way he presented the mathematical basis was so motivating that I was building concepts from the framework he built now I am more interested in learning the math behind it.

finished watching

Hey AI devs, let's put ourselves into the field of AI & make a better future.

This guys machine learning course was the way I started also.

His course on ML is one of the best classes I ever took. Highly recommend.

The greatest minds on 🌎 We Love you ❤️

When Andrew Ng started talking, I went into the AI learning mode straight away.

the aura of andrew ng is so peaceful. really inspiring podcast.

When the interviewee and the interviewer master the subject... Great job Lex and always exciting to come across any content/material from you. Thank you gents

Andrew Ng didn't seem to give much credit to OpenAi's ChatGPGT AI? it sort of gave me the vibe that he was a bit salty may be?

"What matters most is not the logo above the door when you walk into the giant building every day what matters the most is who are the 10 people the 30 people you interact with every day." - Andrew Ng

Andrew Ng is so cool. ♥

Andrew Ng lectures help me so much with my Dissertation.

Andrew really cares a great human waheguru bless him love the man

This is my second all-nighter in a row binge watching Lex Fridman Podcast videos, and I can say that I need another brain to help me comprehend all the insights I have gained.

If you're just getting started in the field, it's also worth considering exploring AI outside of deep learning! These days, machine learning is hyper-competitive, results change fast, and it can be hard to catch up to the "state-of-the-art", especially if you don't have a job at a company with massive troves of data.

Right now we're in an age where deep learning is king, and many are predicting it will be the only form of artificial intelligence in the future. If you study the history of AI you realize hype comes and goes, but the technologies underneath survive and evolve over time. Symbolic methods, often referred to as "Good Old-Fashioned AI" or GOFAI never died, it has evolved into a rich intersection of neuro-symbolic reasoning, search algorithms, task and motion planning, robotics, etc.

These approaches are not entirely separate from deep learning, and generative modeling is an emerging unifying paradigm for both symbolic and neural approaches. Many will be coming from the neural-network side and trying to figure out symbolic methods. In that space, it will be extremely hard to get a competitive edge. Correspondingly, there is an extremely well-placed niche for people working on symbolic methods (especially those who are well-versed in probability) to make a huge impact on neural networks. If you've read this far, I'd especially recommend looking at probabilistic programming (disclosure, that's what I work on) to expand your perspective of what sorts of AI are possible.

Great. Thank you for doing this.

met him today in Portland Oregon.

I've been taking his courses for the last 8 months. I've been already following his career. He is just as humble and cool in real life. He's the GOAT

i love andrew even hearing his voice takes me back to his tutorials.

Wow, this gentleman is incredible. I love that he takes human learning as seriously as ML.

I agree to the RL part completely!!

I have a job in Deep Learning thanks to Andrew Ng

Thank you, Lex.

That watch. I love that he shows it off :)

I've no words to express my gratitude for such humble intelligent generous person. Thanks prof Andrew Ng.

How about optimizing traffic lighting with reinforcement learning? Seems like a good enough application for real world to me

He says dater sometimes, in ML course I thought it was the recording device but he does say it. Safe to say ;

from AndrewNG import data as dater
from AndrewNG import StanfordOnline as so

for data in so :
if (too much dater)
collect(dater) = False
else:
collect(dater) = True

هل ممكن أحد من المهتمين يترجم بالعربي حتى يعم النفع وله الأجر والثواب باذن الله

Thanks for arranging this. Much appreciation 💝

Sorry in advance for asking such a basic question.
Can you suggest me places where I can find good research papers on AI / ML or Deep Learning? Thank you.

Yes, take a note in the paper when attending the course in Online, They Can Very Well to Increased your Memory Because When you Take a not in Paper Your Mind Focus on the particular point who you write on paper and never you forget who write on paper, it my Personal Point to Share, I am a Btech Student of Machine Learning Engineer.

We say Chinese govt is authoritarian but they did not kill his forefathers but British govt did by state funded terrorism..

Thank you !

I truly believe Andrew is an expert in his field and a great teacher but charging 40 Euros a month for his courses is too much in my opinion, especially as a student. I´d rather look for alternatives.

Andrew Ng seems great educator tackled even way of learning by make it a habit from few technics like writing notes. It is true to me, writing notes those difficult parts from learning will help to hard embed those informations in your head for easy recall. What he said is something quantum mechanics which where you put your attention is where your energy is.