The first course felt a bit easy, and I only gave it four stars. However, after finishing the second and third courses, I now understand why the hints in the labs were included and it saved me a lot of time debugging. Sometimes your answer might be the same as what is expected, but the shape or dtype might be different.

Sure, you can just copy paste the answers from the hints, but that's your loss. Same goes for the quizzes, that actually do get a bit more challenging in courses 2 & 3.

The only thing I would have liked to see would be some optional math questions, but even without those this entire specialization is hands down the best one I've taken on Coursera along with PY4E.

This specialization is definitely worth your time, and I recommend watching the CS229 lectures on youtube as you're going through it if you're looking for a bit more of a challenge!

This course provides you with a solid knowledge background in machine learning with various hands-on skills and techniques in linear regression, classification, neuro networks, clustering, collaborative filtering, content based filtering and reinforcement learning. Very importantly it also teaches the logics behind each algorithm, not only teaches you how to each each tool in the packages, so better helps you understand what's going on under the hood. Andrew is a great professor that he outlines the complicated algorithms in human understandable language, so it's very beginner friendly. I really harvested a lot from the course and would recommend it to everyone who is interested in , or want to give a try in this field.

Fully recommended course, another masterclass on ML from Andrew Ng and his team! I was able to quickly build a decent foundation on UL while enjoying the content and exercises. As in the other spezialization courses, each topic starts with the algorithm intuition before jumping into the specific math and nuances. The jupyter notebooks are excellent, I found them super effective to understand the practical implementations of K-means clustering for image compression, Gaussian distributions for anomaly detection, collaborative (and content) filtering for movie recommendations, and reinforcement learning for a virtual lunar lander 🤖 Many Thanks!

The entire course and the Specialization was very Illuminating about ML. Thanks a lot to Andrew and his wonderful team for creating these tangible course products in the form of videos, quizzes, and well documented labs!

The best experience of the entire Specialization was the Climax- watching the simulated lunar rover land on the moon surface! It was an ordinary video, and we all have watched similar videos in video games, but the realization that the 'decent descent' was made possible because of all the algorithms that had run or were running in the background literally made my jaw drop and exclaim to myself- "WOOOW !!"

Prof Ng is a fantastic teacher! The three courses are really well structured and builds upon themselves. I expected to learn some cool things, and I sure did - some mind-blowing machine learning things! The mentors on the forum are really helpful and respond to questions will thoughtful replies, which is great.

Prof Ng is passionate about machine learning, but is also sincere & humble, and is also very mindful of the ethics of AI and how it impacts people. The course is pretty cheap, and I can tell Prof Ng really wants to pass on AI knowledge.

I'm full of admiration for Prof Ng, who is a really nice person!

One of the best courses I joined at Coursera (including ML specialization courses 1 & 2 from Andrew). Very well organized and structured, appropriate learning rate with lots of recaps in particular for me as a newbie, strong focus on teaching the ML techniques and not on coding. It's a lot of stuff all together but the slides are a good handbook for later daily work. The only thing I missed a bit is an 'executive summary' of each week and course, resp., with the most important take-aways in one single slide. But that's just a tiny little thing. Thanks, Andrew and team for this really excellent course!

I've found this course super fun, with lots of knowledge and interesting labs that allow you to put into practice all the theory presented in the videos. I would recommend it to anyone who wants to gain hands-on experience with some super useful techniques and learn the theory behind those too. Also it's always great to have Andrew as a teacher, he goes at a comfortable pace but also magically achieves the transmission of complex concepts in really simple terms and in bite-sized duration videos. All the aforementioned also applies to the entire Machine Learning Specialization, it's superb!

This course has been amazing, as it taught me the fundamentals of machine learning and its potential to making the real-world a better and more efficient place. Personally, I am planning on entering the field of the utilization of machine learning in drug discovery, and this course has been incredibly useful at starting my journey into machine learning. I am very fortunate to having come across this course, and I express my utmost gratitude to Andrew Ng for dedicating so much time to teach machine learning in a way that I could understand.

This is one of the best courses in Machine Learning for topics on Unsupervised Learning and Reinforcement Learning. Andrew NG is one of the best teachers who can make many complex topics more easy to comprehend and at the same time make sure the technical side of things is also delivered. I would recommend this course to anyone who has completed the previous 2 courses in the specialization. The practical examples covered and the help from DeepLearning community is very valuable. Have a great learning experience. Thank You.

El curso de Unsupervised Learning, Recommenders, and Reinforcement Learning fue impresionante. La cobertura de técnicas como clustering, sistemas de recomendación y algoritmos de aprendizaje por refuerzo fue profunda y práctica. Las explicaciones claras y los ejemplos aplicados facilitaron la comprensión de estos complejos temas. Este curso ha ampliado significativamente mis conocimientos y habilidades en áreas cruciales de la inteligencia artificial. ¡Definitivamente merece 5 estrellas!

This course and in fact the whole specialization is a deep introduction to Machine Learning for beginners. It is detailed and yet a lot of fun because Andrew breaks down these difficult algorithms in to simple and intuitive parts and the practice labs are a great way to get introduced to the algorithms and how they are applied practically. In short this Machine Learning specialization is a definitely a great entry point for beginners. Good job Coursera, Deeplearning.AI and Stanford !

This course helped a lot to give a foundation of unsupervised learning, recommendation systems and reinforcement learning. The best part of this course was its last module where they taught us to land a rover in moon. It was fun and a great way to learn about reinforcement learning. I would like to express my thanks to the lecturer and all the personnel who made this course possible. I know I have a foundation on above mentioned topics and I can make a great start from here.

Amazing assortment of videos. Just one STRONG suggestion. the last graded lab in week three, based on reinforcement learning has a shortcomming that it uses graph tensors. this really messes up the code and makes it hard to use. Infact i myself dedicated three hours to debugging it to realise, that the tensors used in the code are modified and cannot be converted to numpy arrays. This made it impossible to code for it. please look into this matter. Thankyou

I was very surprised how such complex things as machine learning algorithms can be explained so clearly. It was a real joy to learn new things from this course. All the material is explained from the very basics and then as a result an entire picture of how everything works is formed. Thanks to Andrew and all the team who was working on this course for their super ability to train not only machines, but people too and to make a world a better place!

The best ML course ever made, especially course 1 and course 2. Super helpful not just tell you how to use the model but also walk you through all the details and logic behind each model. Thank you Andrew! I didn't try hard in my college time and missed the chance to attend Stanford grad school, but it is great being a virtual student of yours. I wish you and your team all the best, and it is so blessed for us to have you in ML industry!

Thanks a lot to the entire course team. This course along with all the 3 courses machine learning specialization was a great introduction to Machine Learning. Admired the perfect pace at which the training was delivered and thanks for all the practice lab and quiz sessions. Learnt also the way to train,present the content and neatly and duly acknowledge the efforts of the contributors and the learner . Great course and team. Thank you!

Great introduction to three difficult topics. Overall the specialization quizzes/assignments have been a light touch. The unsupervised and recommender weeks were a little tougher while reinforcement learning was definitely a friendly introduction with a fun assignment. Great instruction and clearly a lot of time invested into making interesting assignments (very much appreciate the change to python from octave).

I'm pretty new to coding, so that part was a bit advanced for me, but overall it was amazing. I can't believe how much I learned in the last couple months! This specialization has rekindled my love for math. I'm both fascinated by and terrified of where AI is headed, so being armed with real understanding of how machine learning works is very important to me. Now I just have to figure out my next step. Thank you!

Big name on this course! While you will be further impressed only you learned from details and reload some detail steps. I strongly recommend people to learn even you're just a commercial people in data, tech companies. For data analysis is very great but must to have 101 machine learning course which are not only incl. tech and ML but also integrated biz sense in many case studies and sharing during the courses.

The "Unsupervised Learning, Recommenders, Reinforcement Learning" course on Coursera is excellent for anyone looking to deepen their understanding of these advanced machine learning topics. The course content is well-organized and covers key concepts in a clear and engaging manner. The instructors do a fantastic job of explaining complex ideas with practical examples, making the material accessible and relevant.

Very Useful Content from the basics and way to studying things is unique by choosing the real-life example and application and hands-on practice by given me the opportunity to use lab section. Every things are well drafted in lab also and lecture also. I want to say Thank you much team Coursera and Specially Andrew for give me such great opportunity for forward stepping my career. Again thank you very much ....

Thank you to the entire team on Coursera as well as deepLearning.ai for the wonderful course that was structured beautifully to help me gain knowledge of algorithmic underpinnings of machine learning as well as practically implement the many algorithms that have been covered as part of the specialization. Thank you so much for the opportunity to learn, and looking forward to the deep learning specialization!

Very good course for a strong foundational understanding of machine learning. I feel very greatful that courses like this are even available for people like me and I will definitely continue to take other courses provided by Andrew. A very comfortable and friendly person who also provides explanations in a way that makes me understand concepts I didn't think I would be able to understand.

This was an amazing first course to take. I was originally taking the original Machine Learning course when this came out. I switched and it was a very welcome change. Using Tensorflow and Python instead of Octave/Matlab was nice and getting to learn from all the advances was really cool. The interactive notebooks made learning really fun and much easier to get my hands on the material.

This course (along with the other two in the Machine Learning specialization series) is the best course to learn about Machine Learning topics like unsupervised learning, recommenders and reinforcement learning and #BreakIntoAI. Sir Andrew Ng is the best ML teacher ever and I thank him and his team for having provided me with such a great opportunity to learn. Thank You !!!!