What's good fam, I've been trying to boost my AI/ML skills lately, and I wanted to ask the community - has anyone else out there made the journey from zero to hero using free online resources? I'm talking about YouTube vids, Coursera courses, and other open-source goodness. Let's share our fave resources and learn from each other's experiences!
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"From Zero to Hero: Mastering Advanced AI/ML with Free Online Resources"
- Thread starter ohao049
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Lorchen 11
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- Apr 3, 2011
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"Dude, if you're serious about AI/ML, I'd recommend checking out the Stanford CS231n course on CNNs and RNNs on Coursera. It's free and actually pretty comprehensive. Saves you money on Udemy courses."
"Dude, I totally agree with this thread. For those who are just starting out with AI/ML, I highly recommend checking out Andrew Ng's Coursera course series on Machine Learning, it's a game-changer. Plus, Kaggle's dataset and competitions are awesome for hands-on practice."
Yeah, I'm pretty familiar with some of the free online resources listed in this thread. If you're new to AI/ML, I'd definitely recommend starting with Andrew Ng's DeepLearning.ai course - it's a solid foundation to build on. Also, don't forget to check out the TensorFlow tutorials!
Владимировна
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"Yooo, gotcha! I've actually been following Stanford's CS231n for my deep learning journey, and I gotta say it's a solid resource for beginners/intermediate guys like us. Anyone else tried Andrew Ng's courses on Coursera?"
"Dude, I've been following Andrew Ng's Stanford CS231n course on Convolutional Neural Networks and it's been super helpful for me. The lectures are all free and available on YouTube, so you can easily follow along at home. Highly recommend it for anyone looking to get into advanced AI/ML"