2017년 10월 13일
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
2017년 9월 8일
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
교육 기관: Sashi B•
2017년 7월 31일
One of the best courses I have taken online! The professor lectures are great and very well laid out. The assignments are very challenging and meant to teach you real life scenarios. Highly recommend to anyone who wants to learn the basics of machine learning using Python.
교육 기관: Atilio T•
2020년 3월 20일
Excellent course. Not only show how to use python for machine learning, it also teaches the key points in order to achieve a good model. Highly recommended, The instructor provides a clear message about the general idea of machine learning and the most important aspects.
교육 기관: Tusaddique A A•
2020년 8월 20일
This course is my first machine learning course. The instructor was very much helpful. Thank you Coursera and University of Michigan for providing this course online to help thousands of machine learning beginners to pave the way of advanced machine learning. Thank you.
교육 기관: Kristóf U•
2018년 3월 8일
Really really good introduction to applied machine learning. It resolves the fear from the difficult application of complex mathematical formulas. It demystifies the topic of machine learning and provides a perfect introduction how to approach real world problems.
교육 기관: Shahir•
2017년 11월 3일
One of the best courses I have ever taken. I wish I would have taken this course earlier. it gives provides you with a lot of practical tools in a shortest time. This course is perfectly designed and the instructor conveys information in the most efficient way.
교육 기관: Christos G•
2017년 9월 1일
Following the first 2 sessions of this specialisation, this one seems easy and gives the student a lot of confidence. Make sure you follow the sequence suggested in this specialization, even if you do not plan to continue with Text Mining and Social Networks.
교육 기관: Luke B•
2018년 3월 18일
Challenging but worthwhile mix of essential theory (explained well) and hand-on practice with good, sensible exercises to help one get a confident grasp of scikit learn packages which one can use in the real world. Many thanks to the organisers and Coursera.
교육 기관: Naman M•
2019년 2월 26일
The Instructor is marvelous. The Assignments are amazing, The TA is really responsive. The content only for one month course was outstanding, my feedback would be to increase the amount of exercises(coding) and assignments, and make the course for 2 months.
교육 기관: Abhijit T•
2022년 10월 3일
This was a great course for learning how to use scikit learn for machine learning. It was also a good review of ML concepts. I recomend it to anyone who wants to use their ML skills in Python but it is not a beginner course unless. you have a lot of time.
교육 기관: Jonathan B•
2020년 7월 14일
Excellent introduction into machine learning with Python. I came into this class with little knowledge of machine learning and was taking this to aid in my data science career. As a result of this course, I've decided to focus more on machine learning.
교육 기관: Melissacrawford•
2020년 5월 6일
This course does a really good job taking you through the basics of ML through use of Scikit Learn models. It goes over a broad swath of models in a black-box fashion so you can start getting a feel for how each model is tuned and what parameters to use.
교육 기관: Farzad E•
2019년 3월 14일
Assignments and quizzes help you a lot in consolidating the concepts. However, some questions in quizzes are tricky but not in a way that really adds to your understanding of the topic. Overall a pretty good course. (4.5/5 is the rating I would give)
교육 기관: CHEN S H•
2021년 2월 12일
This course is well-structured and I learned a lot from it. Students who use retrieval practice, which is a form of self-testing, retain the information longer and learn better. I liked the quizzes and the assignments, and I wished there were more.
교육 기관: Amitava C•
2020년 4월 18일
The course content is excellent and the instructor makes stuffs easier. Few assignments are very tough but if you go through the course properly can able to solve it. One request to the instructors to a bit slow the pace for better understanding. :)
교육 기관: 谢仑辰•
2018년 3월 7일
Though it just give us a limited amount of information about Machine Learning, it really drive me into the novel world of this field.The course told me a lot of basic concepts about ML, thus I can go through many thesis related to the realm, thanks.
교육 기관: 전하림•
2021년 1월 1일
Very practical lectures for implementing machine learning. Provides more hands on experience and you can get familiar with python machine learning libraries with this course. Highly recommend if you want to really practice machine learning coding.
교육 기관: H.-M. F C•
2019년 1월 26일
The course ire great and illustrates many useful topics. The only thing it needs to improve is about the assignment 4 which requires more information to solve the problem, in particular, people who deal with the complete machine learning problem.
교육 기관: Olin S•
2019년 1월 6일
The programming assignments where though because the automatic grader was very picky. Please change it so it gives the user more input about what part of their code is wrong. Also Have a repository where the user can retrieve previous submissions.
교육 기관: reddi m•
2020년 4월 18일
Excellent course !!!!! very useful for people who have just completed python and wanted to apply the language. Much more clear when we do the course after studying the libraries of python , very clear explanation throughout the entire course .
교육 기관: Oj S•
2020년 6월 1일
It was a great learning experience. The way the course structure is curated is truly adapting to the current trends in field of ML and AI. Thank you for giving me an opportunity to learn from best teachers on a great online learning platform.
교육 기관: Martin G•
2020년 6월 22일
Fantastic course theory and material. Additional vague pointers would have been useful for Assignment 4 to help understand required data manipulation not included in the notebooks.
Many thanks to the team and Professor Kevyn Collins-Thompson
교육 기관: LENDRICK R•
2019년 4월 7일
A ton of learning, a challenging & rewarding course, the final assignment incorporated concepts & techniques from the first and second courses and gave me a clearer understanding of choosing and implementing machine learning algorithms. :-)
교육 기관: Dinesh M•
2021년 2월 28일
The course had the right amout of labs and lectures to experiement the different algorithms and their theory. The auto grader took a while to understand but the the discussion forum threads were immensely helpful, particularly of Sophie's.
교육 기관: Brian R v K•
2017년 10월 29일
This was a great course, with broad coverage of the topic and practical application in Python with scikit-learn. Challenging quizzes were part of the learning context. Overall a great experience, and the best course in the specialization.
교육 기관: Yusuf E•
2018년 7월 31일
Excellent overview of many ML algorithms. Challenging quizzes and assignments. The only downside is that some functions like fit_transform, decision_function, predict_proba could have been explained a little better. Great coverage though.