My personal collection of Machine Learning/Deep Learning
Link: https://digitalcommons.usf.edu/etd/8442/
Main Objectives:
- Learn how to write and edit an academic paper
- Practice designing a machine learning project with clear objectives
- Modify and develop algorithms in an open-source ML software, Weka (Java)
1. Jing Lin, Long Dang, Mohamed Rahouti, Kaiqi Xiong: ML Attack Models: Adversarial Attacks and Data Poisoning Attacks In-vehicle network security (Sep 2021)
2. Dang, Long, Thushari Hapuarachchi, Kaiqi Xiong, and Jing Lin. "Improving Machine Learning Robustness via Adversarial Training."
In 2023 32nd International Conference on Computer Communications and Networks (ICCCN), pp. 1-10. IEEE, 2023.
Please refer to this Github link.
Github: https://github.com/saigontrade88/Coursera_Deep_Learning
Course's Website: https://www.coursera.org/specializations/deep-learning#courses
- Course 1: Neural Networks and Deep Learning (completed). Please refer to the Github link.
- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (ongoing, completed week 1 out of 3). Please refer to the Github link.
- Course 3: Structuring Machine Learning Projects (not started yet)
- Course 4: Convolutional Neural Networks (ongoing, completed weeks 1, and 2 out of 4). Please refer to the Github link.
- Course 5: Sequence Models (not started it yet)
Courses's website: https://www.coursera.org/specializations/algorithms
- Course 1: Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Completed with certification).
- Course 2: Graph Search, Shortest Paths, and Data Structures
- Course 3: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
- Course 4: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Courses's website: https://www.coursera.org/specializations/mathematics-machine-learning
- Course 1: Mathematics for Machine Learning: Linear Algebra (Completed with certification).
- Course 2: Mathematics for Machine Learning: Multivariate Calculus (ongoing)
- Course 3: Mathematics for Machine Learning: PCA