How is the MIT machine learning course? I am fascinated about its depth and usefulness. Can anyone describe their experience with the curriculum, teaching methods, and how it compares to other online courses? Before selecting whether or not to enroll, I would like to hear both the advantages and disadvantages.
Hey. Recently had a tete a tete with my sister’s daughter. She was blaming me for advising her to study the MIT AI course.
In particular, she was stranded because she kinda expected the course to be taught real-time, but yeah she is kinda dismayed and expressed disappointment because it was too expensive for pre-recorded videos that are released as modules. She said it was feeling scammish as she could have learned the same things at no cost over YouTube.
Felt her pain since learning is better when it is one on one, especially sensitive topics like machine learning and artificial intelligence.
I took the MIT OCW ML classes, but I much preferred Stanford’s CS221, 229, and 230 sequence, which is available for free on Coursera (for homework assignments and quizzes) and on YouTube (for lectures). If you haven’t already, I recommend giving them a try because I found them to be more interesting, they provide insights on the most recent ML trends, and Andrew Ng is a unique individual.
If I were to Compare it to other online courses, MIT’s machine learning curriculum would probably win. It is praised for its rigorous academic approach and the prestige of its faculty.
This course tackles the core principles, algorithms, and applications of machine learning. You’ll learn how to frame problems for machine learning solutions, explore different representations for data, avoid models that are too specific to the training data (overfitting), and ensure your models can make accurate predictions on unseen data (generalization).
Curious about the MIT Machine Learning course? Here’s the lowdown:
- Pros: deep dive, strong reputation (MIT! ), project-based learning, active online community.
- Cons: challenging (needs some programming/math knowledge), self-paced (requires discipline!), costs ~$200 for a verified certificate.
- Compared to others: Stanford’s “Machine Learning” is theory-heavy, and Google’s “Crash Course” is beginner-friendly.