Learn: 1. linear algebra well (e.g. matrix math) 2. calculus to an ok level (not advanced stuff) 3. prob. theory and stats to a good level 4. theoretical computer science basics 5. to code well in Python and ok in C++ Then read and implement ML papers..
Deep Learning/course 2019. 10. 30. 13:42Learn:
1. linear algebra well (e.g. matrix math)
2. calculus to an ok level (not advanced stuff)
3. prob. theory and stats to a good level
4. theoretical computer science basics
5. to code well in Python and ok in C++
Then read and implement ML papers and *play* with stuff! :-)
H / T : Shane Legg
#ArtificialIntelligence101
https://www.facebook.com/groups/ReinforcementLearningKR/permalink/2328590640713496/?sfnsn=mo
1. linear algebra well (e.g. matrix math)
2. calculus to an ok level (not advanced stuff)
3. prob. theory and stats to a good level
4. theoretical computer science basics
5. to code well in Python and ok in C++
Then read and implement ML papers and *play* with stuff! :-)
H / T : Shane Legg
#ArtificialIntelligence101
https://www.facebook.com/groups/ReinforcementLearningKR/permalink/2328590640713496/?sfnsn=mo