If you are looking for a course to find out what machine learning is. This is a great course. I only completed the first course so far and It has given me a basic understanding of what machine learning is about, the basic techniques, introduction to software used for machine learning and a look at what's ahead to deepen the learning if I choose to pursue this line.

A really interesting, introductory course in Machine Learning Methods and their applications. The case study approach followed by the instructors makes it ideal to learn how these ideas used in real-life problems. The programming language used is Python (GraphLab Create or Open Sourced libraries), which is most probably the best choice for newcomers in the field.

After going on with the specialization I started to understand how great this first course really was: It teaches you lots of basics while not expecting too much and shows how you can use machine learning in different scenarios.

On it's own it's possibly only worth 3 stars, but in the context of the whole specialization and further courses it's definitely 5 stars!

This course is great for anyone who wants to not only get a great overview of the concepts of machine learning but apply the concepts and see the results in week 1! You'll be using machine learning algorithms to train models with real data even if you have no idea what that means! If you're taking the time to read this review you should probably take the course!

This is a great class! Highly recommended. Emily and Carlos are a great team. The videos are polished, the progression through the material is well organized and everything just fits together very well in this specialization. The assignments are challenging enough to be worth the effort. Great specialization... I look forward to completing every class.

Very good introduction to machine learning, the teachers and assignments are very well planned and executed. It is a course where you can spend more time, as the workload is bigger than at usual courses, but you learn a lot every week. I am really fan of this Specialization and I plan to complete the whole Specialization given enough time in near future.

You were very near to be the legend of Machine Learning but after cancelling the capstone project you aren't. I'm really disappointed, why great things always not completing. I wish you to provide us with at least IPYNB for the capstone project because that will help us a lot. Finally, this is a really amazing course. Thank you for this great course.

that's awesome course. They bridged between theorem and practice. so we can imagine and know how to apply machine learning algorithm in real world and real problem. what's more, we can adjust and tuning machine learning algorithm to make customized algorithm. I am very confidence this course should give everyone great opportunities and good insight.

Machine Learning Foundations manages to provide a very intuitive impact on the understanding of the need and the accuracy of various ML techniques. The course takes the participant through a thorough conceptual and program-based approach. The various Algorithms and concepts are explained in utmost details, and the exercises are fun and challenging.

Aside from few technical difficulties, a very well designed and thorough course - this case-study approach is obviously a lot more involving and relatable than just dragging one through a bunch of theoretical concepts and equations (not that the latter is inherently bad, the other one is just more fun :). Would recommend to anyone interested in ML.

A Brilliant introduction to Machine Learning, I've tried several courses before but none of them got me engaged like this one. The instructors have a lot of knowledge and present the material in a very easy to understand way. Also the assignments and technical work is really engaging and challenges you to really learn the language and the concepts.

Great course--I love the case study approach! Combined with both instructors enthusiasm for the subject, the approach was a great way to ground the theory. The quizzes & labs guided a deeper exploration into the topics the details presented in the modules.

I'm excited to continue digging into the course material while moving towards the capstone.

I thoroughly enjoyed the course. I was hearing about Machine Learning so much that i decided to see whats the big buzz about, and big it was! Now i have some of the ideas for my own projects and some solutions for old problems. And must i say that the instructors are amazing, really love their job! Will definitely use graphlab in my work from now.

First of all, I want to say that the interactions between the two professors was, in the most academically professional way, adorable. They clearly know and love their material, and are clearly relaxed and enjoying teaching. It was easy to learn from them, the lessons were well-scaffolded, and I only wish I could take courses like this on campus.

The course is easy to follow. With the IPython notebooks that are already filled in complementing the teaching, everyone can appreciate the applications of machine learning. What's even better is that, because of the notebooks, one can see that one doesn't necessarily need to be very skilled at maths or coding to build their own application.

An amazing course! If you don't have any idea of what is Machine Learning, you will find this course very helpfull. You will walk through different mathemathical concepts as well, but with some research you will doing well!. Excellent for have a big picture of what's going on with Machine Learning and see practical examples on how it works!

this is pretty cool, I enjoy this course and the dynamic between the instructors. This course touched on important concepts and purposely omitted the details of the underlying math and algorithm in order to give you a bird-eye-view of the ML landscape. It also wets my appetite to learn more about the details behind the magic! Good approach.

Amazing Introduction to ML. I came in with little understanding of ML and no Python or coding experience. I had to do most weeks twice while learning extra Python on the side from Code Academy but if a complete novice like me can do this anyone can! The professors are great- they're great at breaking down complex ideas into simple examples.

In this course, you use ML algorithms that are already implemented to solve various kinds of problems. The goal is to give you a broad overview of ML and how it can be used to solve real life problems.

Subsequent courses of this specialization dive deeper in each algorithm. You'll learn the theory behind them and implement them from scratch.

The instructors did a fantastic job in explaining all concepts! The course is very straightforward and simple. it doesn't require too much mathematics background. The assignments are well-designed. It's quite good for me to get familiar with Python, too.

I will for sure complete all the other courses in the specialization. Looking forward!

Great course for folks who have not been exposed to all the concepts of ML, the video lengths help you pick up from where you left off for working professionals, the assignments and quizzes and intuitive and not overwhelming. Also love the case study approach where the problem statement is first presented and how the solutions are achieved

Excellent course Carlos & Emily! I enjoyed your lectures a lot, ML is complex but you guys found the way to deliver the message clear, easy and in a funny way. Using real world examples was amazing. Guys could you let me know which other courses you are teaching? Ill be glad to continue learning from you guys. Many thanks, obrigado amigos.

Great course! I like their approach of describing application first and then trying to use a fairly complete approach. Submissions in the form of quizzes and auto-graded assignments work better as one does not have to wait for other people to complete the course at the same time, which might be rare at the beginning and end of the session.

Great introductory course to ML! I learned some valuable insights by building actual models using GraphLab. After taking this course, you'll have the foundations and overview of machine learning to take the follow up courses in the ML certification by same instructors or take any other ML course available out there. Highly recommended.

I really liked the case study based approach of this course. It makes you hit the ground running by applying the concepts learnt in a lesson in the case study immediately. I also like the light hearted tone of the teachers - Emily and Carlos, which helps in retaining interest through some of the more challenging concepts in the course.