Machine Learning¶
One of the hottest topics right now, covers foundational concepts related to the field of ML.
The first few topics are common to all aspects of machine learning.
References¶
- Machine Learning | Dr. Pranav | BITS Pilani Dubai Campus
- Modern Data Analysis for Economics
- MIT 6.S897 Machine Learning for Healthcare, Spring 2019
- Machine Learning | mathematicalmonk
- Machine Learning | Caltech
- MIT 9.520/6.860S - Statistical Learning Theory and Applications
- Machine Learning From Data | Rensselaer Prof. Malik Magdon-Ismail
- Machine Learning | NUS School of Computing
- Statistical Learning with Python | Stanford Online
- Intro to Machine Learning and Statistical Pattern Classification
- Machine Learning | WQU Saul Leung
- Optimization Methods for Machine Learning and Engineering | Julius Pfrommer
- Optimization in Machine Learning 2022 | Ganesh Ramakrishnan
- Optimization | CMU Machine Learning
- Machine Learning With Large Datasets | CMU 10-605
- Multimodal Machine Learning | CMU Fall 2022
- Machine Learning | Stanford
- Machine Learning| Andrew Ng Coursera
- Stanford CS229: Machine Learning | 2018
- Stanford CS229: Machine Learning | 2022
- MLOps | Andrew Ng Coursera
- Machine Learning Yearning | Andrew Ng
- Advanced Machine Learning | Florian Marquardt
- Applied Machine Learning (Cornell Tech CS 5787, Fall 2020) | Volodymyr Kuleshov
- Machine Learning for Intelligent Systems | Kilian Weinberger | Cornell
- Applied Machine Learning | Andreas Mueller
- Spring 2019
- Spring 2020
- Probabilistic Machine Learning | Tübingen Machine Learning | Philipp Hennig
- 2021
- 2023
- Towards Bayesian Regression | Kapil Sachdeva
- Machine Learning Concepts (Simply Explained) | Pedram Jahangiry
- Machine Learning Codes and Concepts (2023) | Pedram Jahangiry
- Machine Learning in finance - 2021 | Pedram Jahangiry
- Business Analytics Using Data Mining (BADM) | Galit Shmueli
- https://databookuw.com/databook.pdf
- https://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/
- Steve Brunton | Machine Learning for Fluid Dynamics
- Quantitative Social Science Methods, I (Gov2001 at Harvard University)
- Machine Learning | WIT Solapur - Professional Learning Community
- Machine Learning From Data
- The Foundations of Machine Learning | Ion Petre
- Advanced Machine Learning 2020, CSE, IIT Kharagpur
- Introductory Applied Machine Learning | University of Edinburgh | Victor Lavrenko
- Machine Learning | University of Utah
- Machine Learning | VU University Amsterdam