Machine Learning from Linear Models to Deep Learning

Machine Learning from Linear Models to Deep Learning

 Whether you can take MIT's "Machine Learning from Linear Models to Deep Learning" on edX without the prerequisite probability course depends on several factors, including your existing knowledge of probability and your learning style.

Here's a breakdown of what you need to consider:

Probability knowledge:

  • The course does require some understanding of probability concepts. This includes topics like Bayes' rule, random variables, probability distributions, and expectation.
  • While the course reviews some basic probability concepts, it's not designed to be a comprehensive introduction. If you have significant gaps in your probability knowledge, you might struggle to grasp some of the core machine learning concepts.

Learning style:

  • The course moves at a fast pace and covers a lot of material. If you're a self-directed learner who can handle challenging material, you might be able to catch up on the probability concepts as you go.
  • However, if you prefer a more structured learning environment, it might be helpful to take a separate probability course first. This will give you a stronger foundation and make the machine learning concepts easier to understand.

Alternatives:

  • If you're unsure about your probability knowledge, consider taking a preparatory course on probability or statistics. There are many free and paid online courses available that can help you brush up on the basics.
  • MIT also offers another introductory machine learning course called "Foundations of Machine Learning" on edX. This course doesn't have a probability prerequisite and covers some of the same material as "Machine Learning from Linear Models to Deep Learning" at a slower pace.

Ultimately, the decision of whether or not to take the course without the prerequisite is up to you.

Here are some additional tips that might help you decide:

  • Read the course syllabus and reviews carefully. This will give you a better sense of the level of probability knowledge required and the difficulty of the material.
  • Talk to other students who have taken the course. They can share their experiences and give you feedback on whether or not they think the course is doable without the prerequisite.
  • Don't be afraid to start the course and see how you do. If you find yourself struggling with the probability concepts, you can always withdraw from the course and take a preparatory course first.

I hope this information helps you make an informed decision!

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