Oct 17, 2016
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
Dec 20, 2016
Great course!\n\nEmily 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 on me. I like this course very much.
교육 기관: Daniel R•
Feb 07, 2016
It is a really well thought introduction for Machine Learning. It is almost unbelieveable that you could use every single technique in less than a month. Of course using a framework, but if you are really interested you could do them with open source tools.
It is amazing!
교육 기관: alexandre l f•
Oct 22, 2017
Case study base approach makes this course pragmatical and business oriented. A great team with good tools and exercise which deserves a 5.
Note : math's background is low (or more exactly far from the target of this course) and might be a blocking point at some stage.
교육 기관: Raphael K•
Feb 29, 2016
Nice class, give a brief introduction to all the methods use in ML without going deep. If you just want to get an idea of what ML Technics are and how to implement them this course is for you. If you are want more technical details about ML this class is not for you.
교육 기관: Yaobang C•
Aug 29, 2018
I am very grateful to the coursera platform for giving me the opportunity to learn, and I would also like to thank the two professors for their careful preparation of the wonderful lectures. I learned about machine learning and fell in love with ipynb, thanks again!
교육 기관: Jose N N P•
Mar 30, 2018
Excellent course and very challenging, most importantly, I have learned a lot and I have a great understanding of what machine learning is. Dr. Carlos and Emily are great instructors, and indeed engaging as well as passionate. Looking forward to taking the next one.
교육 기관: Easton L•
Feb 25, 2017
Emily and Carlos are really exciting teachers. This course covers fundamental concepts of Machine Learning and comes with very practical assignments. I've learned a lot from the this course and I believe it will make me ready for more challenging work in the future.
교육 기관: Martin K•
Mar 26, 2016
First of all I want to thank you for conducting this course. I have learned a lot from the course. This course gave me basics understanding of machine learning. You did a good job presenting complex machine learning algorithms in a way that everyone can understand.
교육 기관: Donald M•
Dec 14, 2015
I have loved this course. The approach to learning is most fruitful as I have learned a great deal and had a lot of fun along the way. I am on the last exercise to finish the class after about 4 days. I am going to savor this last one because this was too much fun.
교육 기관: Anatoly M•
Apr 16, 2017
Great introduction to machine learning, not too much math but gives a good idea of what ML is + gives practice in Python (which was my initial goal).
The tests contained a few inaccuracies (they didn't completely match on my machine/setup), but otherwise was fine.
교육 기관: Vinay S•
Jun 01, 2016
Very interesting and fun course for really complicated topic. The best part of the course is the recommended software tools they are brilliant designed especially graphlab.create. Both the instructors are really engaging and teach complicated topics really well.
교육 기관: Ravindra M•
Dec 09, 2015
Case study approach works !
I completed this course and found course materials present intuitive. Following courses go deep in each method.
Thank you Emily and Carlos :-)
A small request to Coursera to provide course completion certificate to free account like Edx.
교육 기관: Varun M•
Mar 12, 2018
The course starts from very basic level and allows to apply the knowledge practically right from the start so the learner can start to see the results right away which makes it interesting and addictive to jump to next session or video to gain more knowledge.
교육 기관: Rick P•
Aug 14, 2016
Emily and Carlos provide a very fun and informative introduction to ML! I really appreciated getting a "blackbox" overview of the various ML methods before doing a deep dive into the algorithms. GraphLab and the interactive iPython sessions are great!
교육 기관: mohammed e e•
Feb 09, 2016
it's the best course of machine learning i'have token in my life,the method of teaching is great, the content is really fantastic, the instructors teaching skill is excellent and it cover lots of real world artificial applications so it's very amazing
교육 기관: Vikram V•
Sep 28, 2016
Excellent course and excellent way to learn machine learning. The professors are great and the exercises are challenging. I love the way the professors teach the course using case study approach, that makes it all the more interesting and fun to learn
교육 기관: Caio L F•
May 24, 2018
Excellent course for those who wants to start to understand what really machine learning is. It goes beyond the theorical part, with pretty cool exercises. The case studies help us to visualize how the many applications we see at the real world work.
교육 기관: Marcio R•
Feb 23, 2016
Excellent introduction and refresher in ML, this course talks in a broad range about the ML applications, and the areas surrounding it. Even if you dont plan to follow the entire Especialization, this is still a very good introduction to the subject.
교육 기관: Omar A•
Oct 09, 2018
Thank you for the amazing course. To be honest this is the first course that I complete on course era. The professors are amazing and the pace of learning is suitable for all levels. I look forward to complete the whole specialization. Keep going :)
교육 기관: Tim C•
Dec 21, 2015
Very enthusiastic lecturers and good resources to learn from. The only thing to consider before taking the course is to learn a little bit of python, as well as having the GraphLab guide to look up for functions.
Best course I've studied in Coursera.
교육 기관: Farooq M K•
Oct 02, 2016
Very thoughtfully and beautifully created course. Both the teachers are really wonderful and know how to explain something so difficult in a very easy to understand language.
Thankyou for making it so easy and at the same time very very interesting.
교육 기관: 赵天琪•
Aug 09, 2016
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.
교육 기관: Salman M•
Jul 15, 2016
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.
교육 기관: Sufian•
Feb 28, 2016
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...
교육 기관: TAMERA Y•
May 16, 2017
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
교육 기관: simon a•
Aug 08, 2016
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