recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
Great primer for machine learning with ample additional resources for those who are interested. I feel this course gave me a solid basis to delve deeper into the topic.
par Supharerk T•
I want to learn ML in R so I go straight to this course without taking any other course in this specialization, and it doesn't disappoint me. Thanks for a great course!
par Saul L•
This is by far the most enlightening class in the whole specialization. I really got a good handle about how to build a predictive model and apply it to real datasets.
par Camilla J•
This course was really informative and extremely efficient by letting you know just the few basics needed to build some quite advanced models such as random forest..
par Nikolai A•
This was my favorite class of the specialization. It was taught very well, and I felt like everything I learned in the previous classes were finally coming together.
par Pablo L•
Excelent course, it's a little bit short considering the breadth of the topic, but covers the most important algorithms and never abandon it's focus on methodology.
par Rachit K•
The course gets you deep into ML very quickly ...but I think that's enough to get someone introduced to machine learning. The recommended book a great accompaniment
par Hiran H•
This is by far the best machine learning course I took. This course is more hands-on "Machine Learning" kind rather than providing just a bunch of videos to watch.
par Emanuele M•
It very well done, good pace, and gives you real and concrete elements and examples to build a fully functional machine learning algorithm! i recommend this course
par Piotr K•
Nice introduction to machine learning in R. It is rather basic level, so it not for people that already know some basics related to regression and classification.
par Jan K•
A nice overview of the most popular Machine Learning algorithms. Also very thorough, given the limited amount of time. I recommend anyone interested to take it!
par Francisco J D d S F G•
The best course of the specialization along with the statistical inference one - the final assignment is very fun to do, pretty much like a Kaggle competition.
par David R•
Great introduction to Machine Learning in R. Concepts explained very clearly and project gave opportunity to test out the concepts introduced to real data.
par Vinicio D S•
You will learn how to use the caret package and learn how to implement ML algorithms. If you want the theory behind it, you need to go to other courses
par Selim J R•
Excellent course. I feel like i know so much already even though we scratched the tip of the iceberg. Will definitely enroll in more advanced courses.
par Pouria T•
Great course, thank you. I was able to use what I have learned from the previous 7 courses and see them on in action through this course. Thank you :)
par Dan S•
The course gave enough of an introduction to allow me to pursue many of the topics on my own. The course does require a fair amount of outside study.
par Sinan G•
Very fine course in machine learning where the focus is more on the use of ML rather on the theory behind it i.e. the course title fits its contents.
par Deleted A•
The course is amazing. The use of training and testing to predict data analysis made me more fascinated and interested in Data Science. Very nice!
par Jerome S P•
Very good explanation! Trying to do the examples help me understand more plus the explanation which is not on the slide helps a lot. Thank you
par Shashikesh M•
An absolute approach of learning machine learning in very unique practical manner. Fundamental at the same to very practical learning course.
par Chris N•
loved it - fascinating subject and more detail than you could possibly want from the course instructors. Friendly community in the forum too.
par Matthew W•
High level and brief overview but found it informative introduction into machine learning with R. The final project is fun and interesting.
par Javier A D•
References were very usefull for doing deep analisys in the thems
Quices were challenge.I learn a lot solving them.
I mis the swirl sessions
par Swaraj M•
Thank you coursera for helping to get the fundamentals of machine learning, now I am confident enough to switch my career in data science.