This is such a well-rounded, beautifully executed coverage of ML for business people! I didn't know what I didn't know but now that I know I'm amazed this wasn't covered in other courses i took.
Very informative, learnt A LOT of stuff that I knew nothing about... But the instructor made if fun and interesting... so it was enjoyable.
par Selin N•
Great course. To cheap to give it away in coursera :)
par Milind P K•
A complete course in ML. Real holistic view.
par ITB537 E S•
the best ml course i have ever done
par Sarwat A M P S•
Amazing and super knowledgable.
par PRASANTA M•
It is really insightful
par Shane H•
Great course !
par Ricardo V•
par Catherine T•
I'm one of those people he warned not to review negatively because it's not a tech course - I'm studying for a career transition to data science, and most of the courses I take are highly technical. But this course gives a huge foundation in general application of ML. I'm not especially interested in working in a business environment per se, but this course really teaches you how to fluently talk about the non-technical aspects of ML and data science. The unit on ethics I think is particularly important. The software demos are also really helpful whether or not you plan to use SAS. Honestly this course was so well rounded. I really enjoyed Eric Siegel's presentation. He manages to be extremely funny while also really effectively teaching the material. My only criticism is he tried way too hard to sell his book at every opportunity and there were not many readings that weren't written by him. And when reading the articles I noticed that he'd used the exact same wording in the course videos. So a little more diversity there could be good.
par Andrew S•
This is increasingly essential knowledge for both business leaders who know that data must be tapped for competitive advantage and analytics professionals who need to understand how to help businesses tap that power. Each party needs to know a bit more - not too much, but enough - about the other's world to be effective together and deliver results. Finding that balance of how much tech and data and how much business outcome to put into a course is really difficult and I have not seen anyone strike that balance like Prof. Siegel. In addition to this unique capability Prof. Siegel brings relevant and relatable cases, actual hands on work in an approachable format and keen sense of humor as he lets geek flag fly high. Take this course.
par Thomas M•
This course provides a good introduction to Machine Learning. I liked the course because I learned a few things around the concerns and implications of using machine learning and developing machine learning models, to take into account the impact of the models predictive output on society at large. While this course did touch upon a couple of machine learning algorithms at a very high level, it was sufficient to whet my appetite to learn more in the other courses of this specialization.
par SALIME M A•
This course is perfect for those professionals that need a clear explanation of what Machine Learning is and what is it for. This course has been extremely helpful for me, it has helped me to clarify the concepts, and how Machine Learning works in a real business environment.
par Chiranjoy C•
This "ML for everyone" course is the benchmark for how machine learning should be taught. Period.
For the uninitiated, Eric Siegel has a rockstar status in this field.
This course brings analytical techniques via ubiquitous use cases. It is a must for practitioner.
par Jocelyn G•
Thank you very much. That is a concise, meaty introduction to machine learning. Exactly what I needed.
par Vanessa U•
Excellent insightful content. Science made easy to understand. I thoroughly enjoyed this course
par Deborah D•
Nice entrance into Machine Learning concepts and spotlight on ethical imperatives
par Priyavrat S•
Loved this course. Recommend to anyone getting started with ML.
par ARNAB B•
This was an amazing learning experience. Thank you so much!
par Anu S•
Excellent summary of practical applications
par Jimmy V•
par Rahul A•
Very good course, set the right contextual understanding. Could have been a bit shorter, esp the ethics part.
par KINKAR C•
par Vincent B•
At heart I'm a "technology wonk" but this ML course focused on the business side (and my career direction) is the right choice. Eric Siegel makes it clear right what ML does and were it can be applied. Now, on to the next part of the specialization...
par Antonio L•
par Fly B•
A good course, though some parts are repetitive.
par Jorge T•
Great introduction to Predictive Analytics