MK Machine Learning
MK Machine Learning
- Kode: TKE194918
- SKS: 3
- Jadwal
- TKE194918 Machine Learning A RABU 15:00 - 17:30 GEDUNG TEKNIK E 201 - 12 mhs
Sumber Referensi
- Materi Kuliah dari Andrew Ng
- Python Data Science
- Python ML Course
- TensorFlow, Keras and deep learning, without a PhD, Github
- CS231n Github, CS231n Github Source
- Homemade Machine Learning in Python License: MIT
- Machine Learning Octave in Octave License: MIT
- Machine Learning Experiments License: MIT
- COMS W4995 Applied Machine Learning Spring 2019 - Schedule - Andreas C. Müller - Associate Research Scientist, amueller/COMS4995-s19: COMS W4995 Applied Machine Learning - Spring 19 License: CC0
Tools
Kuliah
Pekan 7-9
- Logistic regression - pdf - ppt
- Regularization - pdf - ppt
- Programming Exercise 2: Logistic Regression - pdf - Problem - Solution
- Lecture Notes
- Errata
- 06: Logistic Regression by Holehouse
- 07: Regularization by Holehouse
Pekan 10-12
- Neural Networks: Representation - pdf - ppt
- Programming Exercise 3: Multi-class Classification and Neural Networks - pdf - Problem - Solution
- Lecture Notes
- Errata
- Program Exercise Notes
- 08: Neural Networks - Representation by Holehouse
Pekan 13
- Neural Networks: Learning - pdf - ppt
- Programming Exercise 4: Neural Networks Learning - pdf - Problem - Solution
- Lecture Notes
- Errata
- Program Exercise Notes
- 09: Neural Networks - Learning by Holehouse
Visualizing Backpropagation
Pekan 14 : Deep Learning Introduction
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Last modified March 6, 2023: update (7eba5da)