
Following are the key points described later in this article:
- MIT CSAIL Big Data Initiative
- Machine Learning Lecture Notes & Videos
MIT CSAIL Big Data Initiative
MIT has a website dedicated to Big Data initiative from MIT CSAIL (Computer Science and Artificial Intelligence Laboratory). Following pages are worth visits to understand ongoing research and listen/view talks that happened in past.
MIT Machine Learning Lecture Notes & Videos
Following are worth bookmarks for some of the online courses provided by MIT education community (Lecturers and Professors)
- How to Process, Analyze and Visualize Data: This course is an introduction to data cleaning, analysis and visualization. Following are some of the key topics taught as part of this course:
- Visualization
- Hypothesis testing
- Regression
- Text processing
- Prcoessing large datasets
- Lectures on Machine Learning: The page consists of PDFs on different machine learning concepts. Following are three key machine learning topics that have been detailed along with different algorithms:
- Regression
- Classification
- Clustering
- Machine Learning and Statistics: There are lecture notes on some of the following:
- Clustering
- Classification (k-nearest neighbors, Naïve Bayes, Decision trees, Logistic regression, Support vector machines)
- Boosting
- Videos on Machine Learning Topics: Following are some of the videos I liked:
- Random Forest vs AdaBoost: Difference, Python Example - December 8, 2023
- Decoding Bagging in Random Forest: Examples - December 8, 2023
- Feature Importance & Random Forest – Sklearn Python Example - December 8, 2023
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