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Ask HN: What free resources did you use to learn how to program ML/AI?

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Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#11

Post by deepakkarki »

palerdot wrote: post #6

If you are into watching programming videos, I would recommend Siraj Raval Youtube channel - https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A It is quirky, funny and above all very short and crisp and gives you a quick overview of things. Most of his videos are related to AI/ML.

I've personally found him to be more of a "showman" and a youtube "star" rather than someone technically adept with data sciences. He is good at what he does - which is building cool things using cool tools/api.

But I wouldn't recommend him as a good resource to learn core ML from or figure out how stuff work internally.

Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#12

Post by throwaway2016a »

palerdot wrote: post #6

If you are into watching programming videos, I would recommend Siraj Raval Youtube channel - https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A It is quirky, funny and above all very short and crisp and gives you a quick overview of things. Most of his videos are related to AI/ML.

That rapping video with three women dancing in the background is cringe worthy. No comment on whether the AI lessons are any good.

Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#13

Post by lefnire »

* Course: fast.ai (http://course.fast.ai). Practical, to the point, theory + code.

* Book: Hands-On Machine Learning w/ Scikit-Learn & TensorFlow (http://amzn.to/2vPG3Ur). Theory & code, starting from "shallow" learning (eg Linear Regression) on sckikit-learn, pandas, numpy; and moves to deep learning with TF.

* Podcast: Machine Learning Guide (http://ocdevel.com/podcasts/machine-learning). Commute/exercise backdrop to solidify theory. Provides curriculum & resources.

Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#14

Post by superasn »

Andrew Ng's tutorials[1] on Coursera are very good.

If you're into python programming then tutorials by sentdex[2] are also pretty good and cover things like scikit, tensorflow, etc (more practical less theory)

[1] https://www.coursera.org/learn/machine-learning [2] https://pythonprogramming.net/data-analysis-tutorials/

Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#15

Post by lefnire »

palerdot wrote: post #6

If you are into watching programming videos, I would recommend Siraj Raval Youtube channel - https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A It is quirky, funny and above all very short and crisp and gives you a quick overview of things. Most of his videos are related to AI/ML.

I'm with the others on this. Never mind the cringe - he's all show, so much so I think he's bluffing (doesn't know ML). He amps up on "character" so much you're excited for the knowledge drop - when it comes, it's so fast and technical there's nothing to gain from it. The adage "if you can't explain something simply you don't understand it" applies. I was hoping he understood ML enough to boil things down; instead he spews equations and jargon so fast (1) you don't catch it, (2) I think he's just reading from a source. He doesn't go for essence, he goes for speed - and that's not helpful.

Again, the cringe isn't the problem directly; but that it's a cover for his bluff. The result is a not-newbie-friendly resource.

Re: Ask HN: What free resources did you use to learn how to program ML/AI?

#20

Post by petrbela »

ML/AI:

* https://www.udacity.com/course/intro-to-artificial-intellige...

* https://www.udacity.com/course/machine-learning--ud262

Deep Learning:

* Jeremy Howard's incredibly practical DL course http://course.fast.ai/

* Andrew Ng's new deep learning specialization (5 courses in total) on Coursera https://www.deeplearning.ai/

* Free online "book" http://neuralnetworksanddeeplearning.com/

* The first official deep learning book by Goodfellow, Bengio, Courville is also available online for free http://www.deeplearningbook.org/

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