I created a blog (http://ai.bskog.com) to have as a notepad and study backlog. There I keep track of what free courses I am currently taking and which one I will take next.
p.s.
Although video courses are good. Everyday life makes it sometimes difficult to listen to videos on youtube while for instance doing chores around the house or working out, because you often need to a. see the slides/code examples, and b. put it into practice right away... therefore, podcasts are good to give you a flow of information.
Linear Digression, Data skeptic and (thanks to this thread i now discovered Machine Learning Guide)
Don't be discouraged if there is stuff you do not understand or feel like: i can never remember these terms or that algorithm. Just be immersed in the information and stuff will fall into place. And later when you hear about that thing again it will make more sense. I tend to use a breadth first approach to learning, where i get exposed to everything before digging into details thus getting an overview of what i need to learn and where to start.
2. Deep Learning Summer School Montreal 2016 https://sites.google.com/site/deeplearningsummerschool2016/h...
2. selfdrivingcars.mit.edu + youtube playlist "MIT 6.S094: Deep Learning for Self-Driving Cars" (https://youtu.be/1L0TKZQcUtA?list=PLrAXtmErZgOeiKm4sgNOknGvN...)
3. Coursera: Machine Learning with Andrew Ng
4. Standford Cs231n (https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNF...)
5. Deep Learning School 2016 (https://www.youtube.com/playlist?list=PLrAXtmErZgOfMuxkACrYn...)
6. Udacity: Deep Learning (https://www.udacity.com/course/deep-learning--ud730)
I created a blog (http://ai.bskog.com) to have as a notepad and study backlog. There I keep track of what free courses I am currently taking and which one I will take next.
p.s.
Although video courses are good. Everyday life makes it sometimes difficult to listen to videos on youtube while for instance doing chores around the house or working out, because you often need to a. see the slides/code examples, and b. put it into practice right away... therefore, podcasts are good to give you a flow of information.
Linear Digression, Data skeptic and (thanks to this thread i now discovered Machine Learning Guide)
Don't be discouraged if there is stuff you do not understand or feel like: i can never remember these terms or that algorithm. Just be immersed in the information and stuff will fall into place. And later when you hear about that thing again it will make more sense. I tend to use a breadth first approach to learning, where i get exposed to everything before digging into details thus getting an overview of what i need to learn and where to start.