糖心vlog官网观看

First of all thank you very much 糖心vlog官网观看 and team and very big thanks to prof. Andrew for give the opportunity. I am truly Satisfy with this course and throughout this course i learn so many things for the basic which new for me at least.. i will use my this new knowledge for better future for me along with society. Once again thank you very much team 糖心vlog官网观看 and special thanks to Prof. Andrew Ng. I will also recommend my friend my college who want to learn more and more deeply.

Thanks &Regards.

-Harshil Vasani

While I expected this to be simple Python refresher on the originally taken old course with MatLab/Ocatve, carefully reading into the code before executing it helped to conceptualie what I amd doing more. Also I really appreciate the interative demos, and especially those of gradient descent - they really add so much more to building your intuition -- make sure to click in the horizontal direction more anf more to the right and think why the results are changing in the way they do...

Thanks for this experience!

Thank you for the opportunity to take this course through financial aid! I enjoyed the way the course is structured including the optional practice labs and the programming examinations! Being a graduate student with lots of responsibilities, the flexibility of the course allowed me complete the course at my pace without which I would not have been able to complete the course. I would like to take the remaining 2 more courses in the series to give me a proper grounding in the Machine/Deep learning. Thank you!

This course is a great introduction to the most important foundations of supervised learning. Course presentation is really great (Andrew is a wonderful instructor) and all labs are well-designed and really insightful. I strongly recommend all learners to spend enough time with labs, because they help with building a firm understanding and intuition about some tough and abstract concepts. Kudos to Andrew (and all other contributors) for preparing and maintaining this course. I wish I enrolled much sooner.

This course is great and easy to follow, even for somebody with a background outside data science or programming. I have already learnt a lot and look forward to learning more in the other two courses! What I loved the most, apart from the extreme clarity of Dr. Andrew Ng, is that this course is very hands-on and teaches you ML through practice. In this course, you'll find yourself able to write a Linear Regression or Logistic Regression model, both with famous libraries such as scikit-learn and without!

I, a 16 year old high-school student, am oddly interested by Machine Learning, never having learnt it in school prior to this. Even though, I lack quite a few skills and had to try hard to understand certain stuff being discussed , the optional labs throughout this course made it easier for me to understand what I was supposed to do and made everything easy. I particularly loved learning and the questions at the end of the videos made me stay motivated to be attentive. Thanks for the wonderful teachings.

It's a great start towards Machine Learning Career, with this course You'll be able to apply supervised machine learning to solve real-world problems with the industry standard and best practices. You will know the application of supervised learning and how to implement supervised learning techniques to get things done without too much efforts and this course provide you hands-on experience and visual learning to describe the concepts and logics that are required in problem-solving and domain expertise

I enjoyed the "Supervised Machine Learning: Regression and Classification" course from DeepLearning.AI. It was well-structured, and the hands-on projects were especially helpful in reinforcing the concepts. The course provided a great overview of machine learning techniques like regression and classification. I鈥檓 giving it 4 stars instead of 5 because I would鈥檝e liked a bit more depth on certain topics. Overall, though, it鈥檚 a solid resource for anyone looking to improve their machine-learning skills.

This course was broken down to smaller understandable pieces beautifully. The in-video questions were great and the all the labs were very well designed to soak in all the theory components.

I come from a place where I am scared of Math. The way it is taught helped me embrace ALL the Math seamlessly!

Congratulations to the team!

From a place where I was wondering am I good enough for this learning, to completing the course, congratulations to me as well :)

Can't wait to deep dive into the next course :)

Really good. All the provided codes are amazing, and I found them challenging. The course offers a perfect insight into what machine learning is. Everything progresses as outlined in the program. The videos are not too long, which prevents the audience from becoming tired. The labs are great. The codes for interactive plotting are my favorites, and I spent a lot of time learning and viewing them. I'm happy to have taken this course and recommend it to everyone seeking knowledge in this subject.

A very in depth course that lets you dive in into the world of Machine Learning. I think people that already have some python knowledge will enjoy this course more. Optional labs also aren't really optional, unless you simply want to hear lectures on linear algebra and calculus. In parallel with this course I recommend studying and practicing on modules like pandas, numpy, and matplotlib - that let me enjoy way more the course itself, than what I assume it would have been without some knowledge.

This is an excellent course for beginners in machine learning. Andrew Ng, a world-renowned expert in the field, teaches it. Andrew does a great job of explaining the concepts in a clear and concise way. He also provides plenty of examples and exercises to help you solidify your understanding of the material.

I highly recommend this course to anyone who is interested in learning about machine learning. It is an excellent introduction to the field and provides a solid foundation for further study.

I really adore listening to Mr. Andrew Ng, especially when he tells something along this line, "You don't need to worry about that." This course is very beneficial for me, because I am training to become a Machine Learning Practitioner. What I learned from this course will really be what my job will be. Thank you Mr. Andrew and to the whole team who developed this course. You have developed in me the intuition I need to be an equipped and responsible Machine Learning Practitioner in the future.

The course was pretty accurate, since being a new learner I didn't face any difficulties in understanding it as the course contents was very well described and precise. The optional labs was also very helpful, and the user friendly codes where you can play with it was quite exceptional. I looked forward to continue this journey with coursera in the field of Machine learning. My sincere thanks to our instructor Andrew NG as well to his whole team for such remarkable teaching and coding skills.

I鈥檓 absolutely buzzing! Andrew has a way of explaining things that makes even the toughest concepts feel easy to grasp. The course is well-structured, with a great mix of theory and hands-on projects that helped me apply what I learned. I loved every minute of it! I feel more confident in my machine-learning skills and can鈥檛 wait to dive deeper into the field. If you鈥檙e thinking about taking this course, do it! You won鈥檛 regret it. Huge thanks to Andrew for such an amazing experience!

One of the best course on Machine Learning on the Internet. The teaching methodology of the instructor is amazing. He is humble and explains everything from maths to the implementation of models from scratch and also with the help of libraries. The lectures are so well organized and well planned. This course actually set up the fundamentals of machine learning very strong with all of the insights + maths + coding. It actually helped me a lot about what actually ML can do in reality.

Excellent course! Clear insight given by Andrew on complex concepts using simple examples. Alternative way of teaching this course would be getting into linear algebra and calculus, but then then learners would have missed practical aspects of this course. I liked the fact that the focus is on practical applications. Optional labs were very useful. They gave crisp demonstrations of concepts covered in the videos. As a beginner with python, I learnt a great deal of pythons as well.

The 鈥淪upervised Machine Learning: Regression and Classification鈥� course is one of the best machine learning courses available, taught by the renowned Professor Andrew Ng. The course is notable for its comprehensive content, hands-on projects, and excellent student support, making it an incredibly informative and valuable learning experience for anyone interested in machine learning. The teaching methods make complex concepts simple and accessible. I highly recommend this course.

O curso 茅 excelente, o instrutor tem uma din芒mica 贸tima de ensino, os question谩rios s茫o de acordo com as aulas, os laborat贸rios mostram como transpor da teoria para a pr谩tica, sem sombra de d煤vidas 茅 o melhor curso online que eu j谩 fiz, estou muito feliz com o aprendizado que venho tendo, e tamb茅m em descobrir esse universo vasto e interessante que 茅 o aprendizado de m谩quina. J谩 estou animado para colocar os conhecimentos em pr谩tica em tarefas do dia a dia e tamb茅m na faculdade.

"Thank you very much for providing such clear explanations in the Supervised Machine Learning Regression and Classification course on 糖心vlog官网观看. The clarity of your instruction greatly contributed to my understanding of the material. I appreciate the effort and expertise that went into creating this course. It has been a valuable learning experience, and I feel more confident in my understanding of regression and classification. Once again, thank you for your excellent teaching!

S煤per bueno, estaba esperando este curso en la versi贸n de Python y me encant贸. Se enfoca en entender gr谩ficamente c贸mo funcionan estos algor铆tmos de tal manera que uno pueda jugar con las variables y los datos para ver visualmente como cambia el proceso de optimizaci贸n. Una vez se entiende gr谩ficamente se procede a ver las matem谩ticas detr谩s de esos algor铆tmos, las cuales entran m谩s facilmente luego de haber entendido el proceso visualmente y didacticamente. S煤per recomendado.

Very good structured and step by step explainations. The practical parts were not always easy but a very good proof of the individual undersanding.

After completion I will certainly have a look into the examples just for refreshing after finishing and gaining the full picture.

Very good, even my son studying AI did already know who the lecturer is: One of the best world wide.

What shall I say more? Learning from the best in the world is always a pleasure and a benefit forever

El curso es muy claro y bien dictado. Es me jor que el curso de achine Learning que estoy tomando tambi茅n con NG. Recomendar铆a unos ejemplos mas trabajados y un curso previo de Python, pues esta es la parte que me cost贸 mas trabajo. Aunque los ejemplos son en Jupieter, hay mucho software oculto que uno no puede entender y analizar. L谩stima que por los costos no pueda continuar con los dem谩s cursos, por eso quedo a la espera de la ayuda financiera.

Gracias

Carlos J. Gorricho

This course has helped me to understand the fundamental concepts of machine learning and has provided deep insights to various algorithms that are used in machine learning. This is a beginner friendly course so anyone who just wants to learn machine learning without having any prior experience in this field can take up this course. Taking this course was a very good decision and this course has provided me with a basic knowledge and understanding related to machine learning.

An excellent teacher, with high-quality (and addictive) lectures which really motivated me to continue into the domaine of Machine learning and Deep learning ! I highly recommend this course for everyone, especially for beginners who want to know more about the field ; the flow is nice, it's easy to follow at your own rythm and doesn't require much skills prealably, so very accessible. Thanks to Stanford University and 糖心vlog官网观看 for this first experience that I enjoyed a lot