Anton Boitsev
9.0/10
(Our Score)
Product is rated as #21 in category Programming
Advanced methods of machine learning. You will learn how to analyze big amounts of data, to find regularities in your data, to cluster or classify your data. In this course you will learn specific concepts and techniques of machine learning, such as factor analysis, multiclass logistic regression, resampling and decision trees, support vector machines and reinforced machine learning. Various examples and different software applications are considered in the course. You will get not only the theoretical prerequisites, but also practical hints how to work with your data in MS Azure.
Instructor Details
Votes: 0
Courses : 2
Specification: Advanced Machine Learning
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4 reviews for Advanced Machine Learning
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| Price | Free |
|---|---|
| Provider | |
| Duration | 15 hours |
| Year | 2020 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Anonymous –
This is the best course I have taken on EdX. The course material is great, the layout and presentation is great and the assignments were fruitful. I had been looking for a course that had the mathematical explanations of ML algorithms and this is the only one that explained in detail every algorithm. This is a must take course for every aspiring ML engineer
Anonymous –
The course was a good experience in general. The theory part of topics is well covered in the videos and the grading assignments take care of actual implementation of those concepts. Although you don’t get to code a lot, if you can understand and experiment with the provided code later. The quizzes in between the course videos help a lot in better understanding the working of several concepts explained in videos. Videos are a bit monotonous but the explanation is good if you persist!
Last but certainly not the least, the course instructors are very supportive, helpful and prompt. All queries and issues were addressed and resolved very quickly. Overall a good journey.
Anonymous –
One of the best courses in ML, it covers the mathematical part deeply and in great detail, this is the right course if you want to rigorously base ML algorithms mathematically, the readings in each section are very well structured
You have to dedicate time to the course to understand the concepts in a concrete way, the instructors are always attentive to questions and discussions, without a doubt one of the best ML courses I have taken so far, I hope this course becomes well known and people who want to delve into the mathematical part of ML concepts take it, it’s really worth it
Irfan Khorakiwala –
This course has a good mathematical rigor on PCA, SVM and Random Forests. The best thing about the course is that any questions that were raised in the discussion threads were promptly answered and the answers had mathematical proofs. I would like to suggest that a basic understanding of Linear Algebra should be a pre requisite for this course. Overall a wonderful course.