„This time it’s different“ sentiment is necessary ingredient of any bubble.
Learning to Love the AI Bubble
11–20 of 58 posts
Re: Learning to Love the AI Bubble
#12Right now there are 5 comments on this post, and all 5 focus on the issue of how to invest in AI. That suggests something about how Hacker News has changed over the years. There is a larger focus on “what stock can I buy” and somewhat less focus on working with the actual tech.
If I wanted to get started learning about machine learning/AI, where is the best place to do that? I'm a functional programmer who's learned mostly everything about software engineering on the job, and I feel like I don't have the background I need to get started on it; I struggle immensely with math, but have had no problem with my career in software yet thus.
I am going to be traveling for a machine learning convention in two weeks as well, but I'd love for a good place to find some background on this so I can maybe be successful in competing there.
Re: Learning to Love the AI Bubble
#13Right now there are 5 comments on this post, and all 5 focus on the issue of how to invest in AI. That suggests something about how Hacker News has changed over the years. There is a larger focus on “what stock can I buy” and somewhat less focus on working with the actual tech.
If I wanted to get started learning about machine learning/AI, where is the best place to do that? I'm a functional programmer who's learned mostly everything about software engineering on the job, and I feel like I don't have the background I need to get started on it; I struggle immensely with math, but have had no problem with my career in software yet thus. I am going to be traveling for a machine learning conven…
I found this playlist to be helpful as a beginner: https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQ...
If I only had 2 weeks of evenings and weekends to conjure up some ML knowledge, I would start there. Then you could move on to the courses from fast.ai (https://www.fast.ai/)
Re: Learning to Love the AI Bubble
#14Earlier quoted context omitted.
If I wanted to get started learning about machine learning/AI, where is the best place to do that? I'm a functional programmer who's learned mostly everything about software engineering on the job, and I feel like I don't have the background I need to get started on it; I struggle immensely with math, but have had no problem with my career in software yet thus. I am going to be traveling for a machine learning conven…
I found this playlist to be helpful as a beginner: https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQ... If I only had 2 weeks of evenings and weekends to conjure up some ML knowledge, I would start there. Then you could move on to the courses from fast.ai ( https://www.fast.ai/ )
Thank you. I'm going to peruse this and MIT's offerings as well. I also need to learn the basics of another country's language...
Re: Learning to Love the AI Bubble
#15Right now there are 5 comments on this post, and all 5 focus on the issue of how to invest in AI. That suggests something about how Hacker News has changed over the years. There is a larger focus on “what stock can I buy” and somewhat less focus on working with the actual tech.
If I wanted to get started learning about machine learning/AI, where is the best place to do that? I'm a functional programmer who's learned mostly everything about software engineering on the job, and I feel like I don't have the background I need to get started on it; I struggle immensely with math, but have had no problem with my career in software yet thus. I am going to be traveling for a machine learning conven…
If you want to learn Deep Learning without all the math - I'm currently releasing a free video per week for something I'm calling the "Summer of AI": https://summerofai.com/
It walks you through all the basics of deep learning (with PyTorch) with a concept video, code video, and then suggested project for each week.
Re: Learning to Love the AI Bubble
#16Earlier quoted context omitted.
If I wanted to get started learning about machine learning/AI, where is the best place to do that? I'm a functional programmer who's learned mostly everything about software engineering on the job, and I feel like I don't have the background I need to get started on it; I struggle immensely with math, but have had no problem with my career in software yet thus. I am going to be traveling for a machine learning conven…
If you want to learn Deep Learning without all the math - I'm currently releasing a free video per week for something I'm calling the "Summer of AI": https://summerofai.com/ It walks you through all the basics of deep learning (with PyTorch) with a concept video, code video, and then suggested project for each week.
PyTorch is specifically what I was advised to use, so this is perfect. Thank you. Do you have an ETA whatsoever on the image recognition video? I understand they come out weekly.
Re: Learning to Love the AI Bubble
#17„This time it’s different“ sentiment is necessary ingredient of any bubble.
Sometimes it really is different. And sometimes it isn't.
Re: Learning to Love the AI Bubble
#18Earlier quoted context omitted.
I personally would put my money on Nvidia when it comes to most value in AI projects, but I don't have inside knowledge with either company.
Nvidia makes shovels. They stand to make a lot of money no matter what AI works out (possibly more than anyone else), all that without having to do any AI themselves.
Except Nvidia publishes some of the best (and most) machine learning papers when compared to other companies or universities
Re: Learning to Love the AI Bubble
#19Earlier quoted context omitted.
Nvidia makes shovels. They stand to make a lot of money no matter what AI works out (possibly more than anyone else), all that without having to do any AI themselves.
Except Nvidia publishes some of the best (and most) machine learning papers when compared to other companies or universities
Its research is heavily focussed on showcasing new applications for Nvidia hardware.
Re: Learning to Love the AI Bubble
#20[deleted]