워싱턴 대학교의 Machine Learning Foundations: A Case Study Approach 학습자 리뷰 및 피드백

Very good for practicing! It seems to be very easy when you just watch the lectures but after you do the homework you will soon change your mind because the homework is of high quality and can help grasp the working skills for machine learning job.

It's a basic machine learning course for new learners who want to explore what Machine Learning is. This course is a setup for the rest of the specialization and requires various guided programming exercises covering the most popular ML algorithms.

Excellent course for anybody from a college student to a senior Executive who not only wants to understand what Machine Learning is but also how it works and can help! Looking forward to rest of the courses in the Machine Learning Specialization...

Really enjoyed the course. This was a great course for someone who has never taken Machine Learning Or Python. I found the Graphlab Note book very helpful. Plus I loved having the opportunity to write the code / algorithms with Carlos. Great Co

Amazing course and fantastic instructors . It is very inspiring course if you are looking to start a business that might require machine learning. It covers multiple real examples, real businesses that we all have used and now we know their secret

In one word, AWESOME. Made a lot of sense for beginners. Certainly recommended whoever is new to machine learning. Thank you Emily and Carlos. I cannot tell you how much help I have received from it. Looking forward to rest of the specialization.

This course gave me great insights in the theory. The praxis examples where also great. The material could be updated with at least documenting the differences between graphlab and turicreate functions. In some cases those are given, mostly not.

It brushes over all major topics in current applied ML and by the end of it you can have a taste of what it is like to apply ML to practical problems.

The best part is that it is a hands on approach, where you will be coding and solving problems.

The course covers wide range of topics along with the real world examples in simple language , The assignments are superb, they help you to grasp the concepts in much detail and sets a strong foundation . Would definitely recommend this course.

The course is very intuitive and easy to follow; nevertheless it never falls in banality. It really gives you the wish to dive deeper in the machine learning world.

A big thanks to both teachers; their love for this science is very contagious!!!

Great Course, so much valuable information and in combination with Python/Graphlab, I think it is perfect when starting out on ML. Looking forward to the other 3 courses in this series. Lectures are both perfect and tempo is exactly as needed.

I really like this course, it helps me to ramp up with machine learning topic. moreover, it keens me to continue the specialization and dive with the notions mentioned on the lecture, and i won't forget to thank the lecturers Emily and Carlos.

What an amazing course ! Em and Carlos are the best people to learn from. The course was not easy so as to inspire boredom but also not very hard so as to inspire inactivity. If you like building things, this is the course. Thank you so much.

I learned a lot of new things here, this was my first course on ML.

A lots of new ideas and their implementations, I learned which not

only enhanced my knowledge but also helped me in preparation for

becoming useful and worthwhile.

THANKYOU!!

this has been one of the best courses that I have taken online and the output from this is seriously amazing. It really makes your brain work and the forums make sure you don't get lost. I am definitely going to do the specialization course

This was a great introduction to the field of machine learning. Full with practical examples and hands on homework the course really catered to my learning style. Although the initial weeks were easy, the last week gets pretty challenging.

the professors are very interactive and keep the lectures fun. all the programming assignments really helps in understanding the concepts. totally recommended for anyone who is new to machine learning and wants to explore all its aspects.

It's an excelent basic course about Machine Learning, however, I think that I need to learn more advanced features, like controlling the number fo nodes and layers of the neural networks, but I think that would be in an advanced course.

Great opener, and I learned some good algorithms that I can already apply. Really liked how they walked you through every problem for the quizzes too--the later course was not like that, a bit more difficult with the quizzes, for sure.

Great course, Emily and Carlos teach this class in a very interest way. They try to let student understand

machine learning by some case study. That worked well for me. For me the GraphLab wasn't that

good but you can use other packages.

It's a go-to course for all the learners who want to get an idea of what the emerging field of Machine Learning is about. Well structured and well delivered. Everything from the lectures to assignments helped me grasp all the concepts.

Liked the interactive exercises and coding assignments, you can actually play with your own datasets using the ideas shown in the course and learn to apply the concepts. The course is really very basic but can be a good starting point.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

I think it is a very useful starter course to dive into Machine Learning concepts and a little bit of practice. I am looking forward to the next course to begin implementing and of course, understanding more thoroughly these concepts.

Excellent course. I would have preferred sample code with Skitlearn and other Python packages as well because I believe still 95 % of the people use those. I liked the Sframe but I don't see right now many people using it in industry.