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7 Ways to Make Money with Machine Learning



Siraj Raval

Machine Learning is an amazing technology, but how are you supposed to earn a living from it? In this video, I’ll break down 7 ways that anyone can earn money from anywhere in the world using machine learning. We”ll start by taking a look at whats called the “AI Value Chain” to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, we’ve got a lot to cover in this video. Enjoy!

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More learning resources:
https://www.youtube.com/watch?v=9bbS-trc8ys
https://www.youtube.com/watch?v=x6GYD5WPda4
https://www.youtube.com/watch?v=CGTn0ceOaOM
https://www.youtube.com/watch?v=7vunJlqLZok
https://www.youtube.com/watch?v=SSu00IRRraY
https://www.youtube.com/watch?v=HhqhFbwiaig
https://www.kaggle.com/competitions

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The 7 Ways are
1. Start a Startup
2. Contract Work
3. Job or Internship
4. Write a Book
5. Educational Content
6. Automated Trading Bot
7. Competitions

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32 thoughts on “7 Ways to Make Money with Machine Learning
  1. You said something about having github projects you can show cusotmers. But what if I never had any real customers yet, so never had a real project. Are example projects what I should start with? What kind of things should i be looking for? How detailed should those projects be?
    Thank you!

  2. @Siraj Raval, I need some guidance from you. I have done some diploma(I know programming very well) for computer science but it was not deep like university syllabus. I know that AI needs a lot of mathematics. could you please tell me where I can start for AI? thanks a lot for videos. I have found your youtube channel today and it's very inspirational.

  3. The information or data which you have that is impressive and really rare to find over the internet about AI. It help me a lot to understand AI….I wanted to build my career in AI …but how can i start thinking abt it ? On which thing i have to start learning first.

  4. 11:53 You can’t build a high frequency trading system with software alone. You can build a software based strategy but HF algos and execution are too fast for software because of software latency. You’ll need FPGA design skills to create the necessary physical hardware.

  5. Thanx Siraj, I think this is an excellent video for those who wants to make money with the AI techniques. I subscribed and looking forward to your new videos.

  6. Its like a guy is teaching us to make billion dollor, but he himself is making a YouTube videos to earn few money. Too much confident too low iq=typical Indian. Lol.

  7. sir , is there a relation between machine learning & network ?
    cause in my country no jops for maxhine learning and it is not popular
    so i like to work in network instead &develop my work with machine learning

  8. you asking for me to subscribe made me unsubscribe. what kind of people do you target your videos at? my grandparents?

    But the content made me subscribe again honestly. Great advice and very informative.

  9. If you could make money from ML you would not be doing these childish Youtube videos.. DO SOMETHING FUCKING WORTHWHILE AND UNIQUE IN ML???? so what the fuck can you really do?

  10. im sorry, i just love you. i learn so much because im NEVER bored with your personality. its freekin awesome by the way. annnnnnd ur not hard on the eyes to say the least…!lol but anywhoz…ur like SUPER smart and talented. i know it sounds like im flirting, im really not…i just want you to know how much i enjoy your channel and wish other "youtubers" could present content in such an educationally engaging way. U fkn rock. and your music is dope. i can tell you are having fun. and thus so am i whenEVER i watch one of your videos. thanks for all you do. PS. im really Not a crakkhead, i just a Tyrone Biggums fan because he's so dedicated.lol

  11. Siraj, I was under the impression that Oracle was dying too BUT(!) apparently Amazon servers run using Oracle(!) databases. Can you imagine that?
    In any case, definitely recommend watching one of the latest Larry Ellison's interviews

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