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That will help you get began with machine studying we have compiled a listing of free programs at universities like MIT, Harvard, Stanford, and UMich. I like to recommend sifting by the contents of the programs to get a really feel for what they cowl. After which primarily based on what you’re all in favour of studying, you’ll be able to select to work by a number of of those programs.
Let’s get began!
1. Introduction to Machine Studying – MIT
The Introduction to Machine Studying course from MIT covers a variety of ML subjects in appreciable depth. You’ll be able to entry the course contents together with the workouts and observe labs without spending a dime on MIT Open Studying Library.
From the fundamentals of machine studying to ConvNets and recommender methods, right here’s a listing of subjects that this course covers:
- Linear classifiers
- Perceptrons
- Margin maximization
- Regression
- Neural networks
- Convolutional neural networks
- State machines and Markov Resolution Processes
- Reinforcement studying
- Really helpful methods
- Resolution timber and nearest neighbors
Hyperlink: Introduction to Machine Studying
2. Information Science: Machine Studying – Harvard
Information Science: Machine Studying is one other course the place you’ll get to be taught machine studying fundamentals by engaged on sensible functions resembling film suggestion methods.
The course goes over the next subjects:
- Fundamentals of machine studying
- Cross-validation and overfitting
- Machine studying algorithms
- Advice methods
- Regularization
Hyperlink: Information Science: Machine Studying
3. Utilized Machine Studying with Python – College of Michigan
Utilized Machine Studying in Python is obtainable by the College of Michigan on Coursera. You’ll be able to join free on Coursera and entry the course contents without spending a dime (audit monitor).
This can be a complete course that focuses on widespread machine studying algorithms together with their scikit-learn implementation. You’ll work on easy programming workouts and initiatives utilizing scikit-learn. Right here’s the checklist of subjects this course covers:
- Introduction to machine studying and scikit-learn
- Linear regression
- Linear classifiers
- Resolution timber
- Mannequin analysis and choice
- Naive Bayes, Random forest, Gradient boosting
- Neural networks
- Unsupervised studying
This course is a part of the Utilized Information Science with Python specialization provided by the College of Michigan on Coursera.
Hyperlink: Utilized Machine Studying in Python
4. Machine Studying – Stanford
As an information scientist, you also needs to be comfy constructing predictive fashions. Studying how machine studying algorithms work and having the ability to implement them in Python can, due to this fact, be very useful.
CS229: Machine Studying at Stanford college is likely one of the extremely really useful ML programs. This course permits you to discover the completely different studying paradigms: supervised, unsupervised, and reinforcement studying. Moreover, you’ll additionally find out about strategies like regularization to stop overfitting and construct fashions that generalize effectively.
Right here’s an outline of the subjects lined:
- Supervised studying
- Unsupervised studying
- Deep studying
- Generalization and regularization
- Reinforcement studying and management
Hyperlink: Machine Studying
5. Statistical Studying with Python – Stanford
The Statistical Studying with Python course covers all of the contents of the ISL with Python e-book. Working by the course and utilizing the e-book as a companion, you’ll be taught important instruments for information science and statistical modeling.
Here’s a checklist of the important thing areas that this course covers:
- Linear regression
- Classification
- Resampling
- Linear mannequin choice
- Tree-based strategies
- Unsupervised studying
- Deep studying
Hyperlink: Statistical Studying with Python
Wrapping Up
I hope you discovered this checklist of free machine studying programs from prime universities helpful. Whether or not you wish to work as a machine studying engineer or wish to discover machine studying analysis, these programs will provide help to acquire the foundations.
Listed below are a few associated assets you may discover useful:
Pleased studying!
Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, information science, and content material creation. Her areas of curiosity and experience embody DevOps, information science, and pure language processing. She enjoys studying, writing, coding, and low! Presently, she’s engaged on studying and sharing her information with the developer neighborhood by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates participating useful resource overviews and coding tutorials.