This course is good for beginners.This course covers hands-on as well as Basic theory and their applications .

great course content to get started with machine learning and also for deep learning.

START basic like star

This course was a great balance between lecture (and lecture quiz) & iPython lecture (and iPython lecture quiz). I like that the answers are multiple choice as opposed to copying and pasting code. That way, any coding errors can be played around with in the notebook first without using up any submission attempts. Emily and Carlos did a great job of keeping the course fun while sticking to the easy-to-understand case-study approach.

Awesome, better course of machine learning.

Awesome course to get started to ML with Python.

This course is very helpful for a beginner and provides a good foundation for the specialization and the advanced courses

Excellent introductory course on Machine Learning. The material is taught at a level that does not require much in terms of pre-requisites, both in terms of the math and the programming requirements. From my perspective, I have an extensive background in Math, and some background in programming (MATLAB, R). I had not used Python prior to this course, and I found that I could keep up and learn both some Python and ML. I was able to finish the course in two weeks. Well done to the instructors who made the videos fun and accessible. Recommended for anyone who wants to learn something about ML.

以实际案例结合的讲解，非常有意义，对于新手来说，更能亲自体验到机器学习的强大

Good Machine Learning course for beginners.

Great Experience...! Loved it...!

Good case studies to start with. Would have been better if python 3 was used. Please update and provide everything in python 3.

Very good course

Excellent course and highly recommended - covers fundamentals, TF-IDF, cosine. jaccardian similarities, recommender systems (precision/recall, AUC), deep learning via transfer learning (not having to explicitly build a model for the problem).

Exercises could be done in some tool which is common across industry.

Lucid over

Loved the course content. Particularly loved the usage of iPython notebook. very relevant & useful. Special thanks to the course instructors for helping guide through the course.

I still think it is better to have different course content at the start for programmers, people with some mathematics background and others

Emily and Carlos made this course really enjoyable. The Case Study approach really helped with better understanding of many concepts. I highly recommend this course for beginners.

Good material. Enjoy the Course.

Well thought methods for modern data analysis

Excellent!!

This will be really helpful for someone who really wants to start the ML journey and not sure where to start. The content was designed well to suit people across levels and technologies. Strongly recommended.

Excelente

Amazing course. I had already done other ML Courses at coursera, but the competitive differential is the friendly approach took by the professors. Carlos and the other girl are very nice, they smile...so the training gets less formal, they look like a friend telling stories in a bar. Another main point is really the uses cases. They swap between the big forest map and the detailed view of the leaf in a succinct way. Easy to understand both views. Congratulations.

Good intro to ML