Write a Review: Machine Learning

Tell us about your experience

 
 

Click stars to rate

150 characters minimum

Tell us about yourself

Progress in the course

Prior knowledge of the subject

First Name

Last Name

See what other students say

Deans Charbal profile image
Deans Charbal profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
2 years, 1 month ago
This is my second course about Machine Learning (I'm a senior developer with a mathematical background) and I am delighted. This course is probably the best online ML course you can find. Professor John Pais... This is my second course about Machine Learning (I'm a senior developer with a mathematical background) and I am delighted. This course is probably the best online ML course you can find. Professor John Paisley is an amazing and brilliant teacher ; he doesn't only have the knowledge, he has the talent of teaching, of transmitting knowledge with detail and precision, of explaining, reexplaining, illustrating sometimes complex concepts to make them simpler to understand and digest. I would like to thank him warmly, because my linear algebra and math background were pretty rusted, but it was a so-interesting 3 months, challenging for some parts but at the end of the day, it open perspectives, it provides extra tools of knowledge, it gives you keys of understanding. What a pleasure. About the content itself, some may think the content is very advanced or complex, while people more familiar with the topic may argue it's just an introduction. Like an other person reviewing the course, I would warn people that it's heavy on mathematics (linear algebra, calculus). If you're familiar with it, just move forward and take this course. Last thing, lots of people are complaining about Vocareum. I didn't have any problem with it. Just have to wait that your files are saved before submitting them to grading (my first submission was empty because of that, the problem never happened again when I cared about it).
Was this review helpful? Yes1
 Flag
Steven Frank profile image
Steven Frank profile image
10/10 starsCompleted
  • 59 reviews
  • 57 completed
1 year, 5 months ago
Buckle up -- this deep, mathematically rigorous dive into the major areas of machine learning is fast-paced and challenging. In fact, most of the course is less about machine learning than the math behind i... Buckle up -- this deep, mathematically rigorous dive into the major areas of machine learning is fast-paced and challenging. In fact, most of the course is less about machine learning than the math behind it -- problem-solving and applications take a back seat to the underlying mathematical techniques. You won't see very many implementation examples or, in the programming projects, watch a machine get smarter. For that context, you either need prior ML training or to have taken the first course in the AI MicroMaster series, Artificial Intelligence with Ansaf Salleb-Aouissi, which treats most of the topics in this course at a higher, more introductory level. Also, considerable fluency in probability and statistics is assumed -- at the level of MITx 6.041, for example. Although no textbook is suggested, I found "The Elements of Statistical Learning" by Hastie et al. to be quite useful. The topics covered are numerous, too many to list without putting you to sleep, but they span all of the common machine learning techniques except neural networks, which is a subject in itself (and is nicely covered at a high level in the AI course). There are four programming projects, weekly quizzes, and a final exam that counts for a whopping 45% of your grade. Prof. Paisley's lectures are clear and deftly unpack difficult mathematical principles and derivations, although he speaks a bit slowly and I found that playing the lectures at 1.25x speed delivered a more natural cadence. All in all this is a great course, but be forewarned.
Was this review helpful? Yes0
 Flag