Bifalgorithm post

I've tried out over 30 machine learning courses here, the only three that you need. The first one that we have is Google's Machine Learning Crash Course. It was originally built by Google to train their own engineers, but they've made it completely free now. And it's 15 hours of interactive hands-on lessons and programming exercises as well. And they just updated it with new content on large language models and generative AI. The next one that we have is MIT's Introduction to Machine Learning. And I'm honestly surprised that they gave this out for free because people spend thousands of dollars to go to the school and learn the exact same things. You get video lectures, exercises, labs, and quizzes which cover things like neural networks, supervised learning, reinforcement learning, and a ton of other topics. The next one that we have is FATAI's Practical Deep Learning Course for Coders. This is one of my personal favorite courses because it focuses on a code first approach, so you start building models from day one and then you learn the theory afterwards. So if you want to learn quickly, this is the exact course that you need to take. And to make it easier, I built an app to help you learn machine learning in the most fun and most simple way possible. It's called AXON and if you want to try it out, the links in my bio. And if you want more courses just like these ones, follow for part two.

I've tried out over 30 machine learning courses here, the only three that you need. The first one that we have is Google's Machine Learning Crash Course. It wa…

Ideas in this flowchart

  • Recommended Machine Learning Courses
  • Google's Machine Learning Crash Course
  • Free and Interactive
  • 15 hours of lessons and exercises
  • Updated with new content
  • MIT's Introduction to Machine Learning
  • Free access to high-value content
  • Includes lectures, exercises, labs, quizzes
  • Topics: neural networks, supervised learning, etc.
  • FATAI's Practical Deep Learning Course for Coders
  • Code first approach
  • Build models from day one
  • AXON App
  • Links in bio for AXON
  • Follow for more courses
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I've tried out over 30 machine learning courses here, the only three that you need. The first one that we have is Google's Machine Learning Crash Course. It was originally built by Google to train their own engineers, but they've made it completely free now. And it's 15 hours of interactive hands-on lessons and programming exercises as well. And they just updated it with new content on large language models and generative AI. The next one that we have is MIT's Introduction to Machine Learning. And I'm honestly surprised that they gave this out for free because people spend thousands of dollars to go to the school and learn the exact same things. You get video lectures, exercises, labs, and quizzes which cover things like neural networks, supervised learning, reinforcement learning, and a ton of other topics. The next one that we have is FATAI's Practical Deep Learning Course for Coders. This is one of my personal favorite courses because it focuses on a code first approach, so you start building models from day one and then you learn the theory afterwards. So if you want to learn quickly, this is the exact course that you need to take. And to make it easier, I built an app to help you learn machine learning in the most fun and most simple way possible. It's called AXON and if you want to try it out, the links in my bio. And if you want more courses just like these ones, follow for part two.

"The first one that we have is Google's Machine Learning Crash Course"

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