I’m 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’t wait to dive deeper into the field. If you’re thinking about taking this course, do it! You won’t 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 “Supervised Machine Learning: Regression and Classification” 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 é excelente, o instrutor tem uma dinâmica ótima de ensino, os questionários são de acordo com as aulas, os laboratórios mostram como transpor da teoria para a prática, sem sombra de dúvidas é o melhor curso online que eu já fiz, estou muito feliz com o aprendizado que venho tendo, e também em descobrir esse universo vasto e interessante que é o aprendizado de máquina. Já estou animado para colocar os conhecimentos em prática em tarefas do dia a dia e também na faculdade.

"Thank you very much for providing such clear explanations in the Supervised Machine Learning Regression and Classification course on Coursera. 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!

Súper bueno, estaba esperando este curso en la versión de Python y me encantó. Se enfoca en entender gráficamente cómo funcionan estos algorítmos de tal manera que uno pueda jugar con las variables y los datos para ver visualmente como cambia el proceso de optimización. Una vez se entiende gráficamente se procede a ver las matemáticas detrás de esos algorítmos, las cuales entran más facilmente luego de haber entendido el proceso visualmente y didacticamente. Súper 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 también con NG. Recomendaría unos ejemplos mas trabajados y un curso previo de Python, pues esta es la parte que me costó mas trabajo. Aunque los ejemplos son en Jupieter, hay mucho software oculto que uno no puede entender y analizar. Lástima que por los costos no pueda continuar con los demás 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 Coursera for this first experience that I enjoyed a lot

I completed the Machine Learning course a few years ago and wanted to refresh my knowledge with this new speciality course. I think that this course was far superior. The use of Python in conjunction with the Jupyter notebooks isa big improvement over the Octave/Matlab usage in the first course. And my congratulations to the builders of the optional labs. They are extremely detailed and appear to have taken a lot of work in design and implementation.

Thank you.

Tom Mone

The course content is well-structured, Andrew Ng's teaching style is exceptional; he has a unique ability to explain complex concepts in a simple and intuitive manner. One of the strengths of this course is the hands-on approach. The programming assignments using [programming language] and [machine learning library] were challenging but immensely rewarding Thank you, Professor Andrew Ng, for sharing your expertise and making this course accessible to learners worldwide.

All the 3 courses have a good pace to follow. Concepts are explained very clearly and succinctly. Although I know this courses are not for coding experiences, from my point, expanding application examples is needed to understand the concepts better from different sectors and it would be better if this expansion would be as an article to be implemented to code by students. Overall, thanks to everyone in that project, it was a smooth and beneficial learning experience.

É um curso excelente o Andrew Ng tem uma didática excelente fazendo com que o curso seja prazeroso de se fazer abordando tópicos de machine learn focados em regressão linear, classificação, regressão logistica. No curso ele procura aprofundar e falar sobre o funcionamento detalhadamente de cada um dos processos de machine learn não apenas mostrar um sistema "caixa preta"- scikit learn ou simplesmente falar que regressão é uma reta que melhor se aplica aqueles dados.

i think this machine learning course was amazing, i learned quite alot , i now understand so many concepts and techniques thanks to the great instructors , videos and also the labs i was provided with. the quizzes and also the question in the videos made sure i payed the required attention needed to learn the concepts required. Overall i want to say a big thanks to mr andrew ng and all the people who have made this machine learning specialization course possible :)

This is the best course for revising the fundamentals of Supervised ML. I enjoyed the thorough explanation by the course instructor Andre Ng. Many topics covered in this course such as Regularization, Overfitting, and Gradient Descent are building blocks for Deep learning(NN). The practical approach for the implementation along with the conventions stated by Andrew makes this course the best among all. Overall, I enjoyed a lot learning the first part of this course.

I just finished Coursera's 'Supervised Machine Learning: Regression and Classification' course, and it was fantastic! Dr. Andrew Ng's clear explanations and engaging lectures, along with interactive quizzes and assignments, made learning a breeze. The high-quality videos and slides enhanced the experience, and I now feel confident in my understanding of machine learning concepts. I highly recommend this course to anyone interested in diving into machine learning.

Great course. Andrew Ng teaches in a way that even a beginner with zero background knowledge about machine learning can understand pretty easily. The pacing is really good. The optional labs though mentioned as optional are extremely beneficial as the videos cover the theoretical part while the labs cover the basics of coding required. 100% recommended course if you are looking to learn machine learning as a beginner for academics or just to improve your skills.

The course covers the basics, which help understand the concepts behind regression and classification.

The labs are in python, which makes it easier to follow.

Programming the cost function and many other functions manually instead of just using the library helps understand the concept.

Finally, the instructor Andrew NG is calm and composed in explaining the complex concepts and making them easy to understand.

I thank the entire team for coming up with this course.

I'm returning to Machine Learning after an eight-year absence. Andrew Ng is able to convey not only the 'how' behind Linear and Logistical Regression, but also the 'why.' I chose to pay for this course instead of taking other courses that are available to me because of its didactic excellence. Kudos to Deeplearning.AI for their efforts to provide a first-class education, even at the beginning level. I look forward to proceeding onto the next course and beyond.

Wow! Great course! I was lost watching ML videos on YouTube, until this course came along. Now I have a good understanding of the fundamentals of machine learning. This course is a necessary requirement to be able to move on to advanced algorithms, neural networks, and TensorFlow. Andrew Ng explains things very clearly and gives what is needed to understand. The course materials and downloadable working python code examples helps get you started easily!

I am beginner in Machine Learning, this course and the instructor made it so much clear and easy to understand Machine Learning concept that now for me it`s not an alien concept. Don`t hesitate to opt for this course, though there is more emphasis on mathematical side I think its pretty to understand once you know the concept and its not too much complex either. I would 100% recommend any person to take this course if they are interested in Machine Learning.

El curso de aprendizaje supervisado fue excelente. Las explicaciones fueron claras y profundas, cubriendo tanto la teoría como la práctica de algoritmos clave como regresión y clasificación. Aprendí mucho sobre los fundamentos matemáticos y la aplicación práctica de estos algoritmos en proyectos reales. Las tareas y ejemplos prácticos me ayudaron a solidificar mis conocimientos y a aplicar lo aprendido de manera efectiva. ¡Definitivamente merece 5 estrellas!

I absolutely loved the teaching methodology and the quality of the content that was provided along with the practice lab. It was challenging and that's what makes it one of the best courses in the ed-tech market. I would highly recommend it to my friends and my fellow learners. I would like to express my sincere gratitude to Dr. Andrew Ng and Team for designing such a course that makes you the master of machine learning algorithm form basics to advanced.