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What's a good course (Udemy, etc?) to learn about AI/Deep Learning/Basics? (Please don't pounce on me on things like "AI is not Deep Learning!") I'm not even s

by atonse 11y ago

What's a good course (Udemy, etc?) to learn about AI/Deep Learning/Basics? (Please don't pounce on me on things like "AI is not Deep Learning!") I'm not even sure where to begin with understanding this stuff, although it's just fascinating.

wilde 11y ago
Prereqs: Stats, Multivariable Calc, Linear Algebra http://cs231n.stanford.edu/ http://cs231n.stanford.edu/
- make3 11y ago
  The classic cs229 Machine Learning course is also pretty great, if more mathematically dense http://cs229.stanford.edu http://cs229.stanford.edu
Homunculiheaded 11y ago
Geoffrey Hinton's "Neural Networks for Machine Learning" on Coursera [0] is a pretty excellent course to cover the basics. There's a lot in the course, but if you just skim over the videos you'll get a pretty good "big picture" view of what's out there. As with any quantitive topic, it's best to take a first pass where you just glance at the math and come back later to really focus on the missing pieces An important thing to realize is that much of deep learning is decades old neural networks research that has for one reason or another become more viable recently.
estefan 11y ago
Someone posted this on another thread which is good (I've only got to chapter 3 and have had to detour to the Khan Academy to refresh my maths): http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/
ccmonnett 11y ago
Hey, I signed up just to reply! If you want to begin to understand the stuff for fun I recommend the Udacity cluster of data science courses - intro to data science, machine learning, and eventually deep neural networks. I took AI at Stanford and learned a TON but for getting your hands dirty fast the Udacity courses are more appropriate. They have a bunch and they are well segmented so if you want to divert into e.g. data visualization, there's a class for that. Your learning will culminate in this course: https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730
simulate 11y ago
This series by Josh Grodin got started recently and looks promising. I assume they will eventually cover neural network / deep learning basics. Hello World - Machine Learning Recipes #1 https://www.youtube.com/watch?v=cKxRvEZd3Mw https://www.youtube.com/watch?v=cKxRvEZd3Mw Visualizing a Decision Tree - Machine Learning Recipes #2 https://www.youtube.com/watch?v=tNa99PG8hR8 https://www.youtube.com/watch?v=tNa99PG8hR8

by atonse 11y ago

wilde 11y ago

Prereqs: Stats, Multivariable Calc, Linear Algebra http://cs231n.stanford.edu/ http://cs231n.stanford.edu/

make3 11y ago
The classic cs229 Machine Learning course is also pretty great, if more mathematically dense http://cs229.stanford.edu http://cs229.stanford.edu

Homunculiheaded 11y ago

Geoffrey Hinton's "Neural Networks for Machine Learning" on Coursera [0] is a pretty excellent course to cover the basics. There's a lot in the course, but if you just skim over the videos you'll get a pretty good "big picture" view of what's out there. As with any quantitive topic, it's best to take a first pass where you just glance at the math and come back later to really focus on the missing pieces An important thing to realize is that much of deep learning is decades old neural networks research that has for one reason or another become more viable recently.

estefan 11y ago

Someone posted this on another thread which is good (I've only got to chapter 3 and have had to detour to the Khan Academy to refresh my maths): http://neuralnetworksanddeeplearning.com/ http://neuralnetworksanddeeplearning.com/

ccmonnett 11y ago

Hey, I signed up just to reply! If you want to begin to understand the stuff for fun I recommend the Udacity cluster of data science courses - intro to data science, machine learning, and eventually deep neural networks. I took AI at Stanford and learned a TON but for getting your hands dirty fast the Udacity courses are more appropriate. They have a bunch and they are well segmented so if you want to divert into e.g. data visualization, there's a class for that. Your learning will culminate in this course: https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730

simulate 11y ago

This series by Josh Grodin got started recently and looks promising. I assume they will eventually cover neural network / deep learning basics. Hello World - Machine Learning Recipes #1 https://www.youtube.com/watch?v=cKxRvEZd3Mw https://www.youtube.com/watch?v=cKxRvEZd3Mw Visualizing a Decision Tree - Machine Learning Recipes #2 https://www.youtube.com/watch?v=tNa99PG8hR8 https://www.youtube.com/watch?v=tNa99PG8hR8