Lec 00 - the outline and schedule of a class
2020. 3. 18. 14:19ㆍPython/Sung Kim M.L
1. Goal
- Basic understanding of machine learning algorithms
- Linear regression, Logistic regresiion (classification) (굉장히 강력한 알고리즘)
- Neural networks, Convolutional Neural Network, Recurrent Neural Network (Deep learning) - Solve your problems using machine learing tools
- Tensorflow and Python
2. Acknowledgement
- Andrew Ng's ML class
- https://www.coursera.org/learn-machine-learning/home/welcome
- http://www.holehouse.org/mlclass/ - Convolutional Neural Networks for Visual recognition
- http://cs23ln.github.io/ - Tensorflow
3. Schedule
- Machine learning basic concepts
- Linear regression
- Logistic regression (classification)
- Multivariable (Vector) linear/logistic regression
- Neural networks
- Deep learning
- CNN
- RNN
- Bidirectional Neural networks