JM
Sep 21, 2022
Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses
AD
Nov 23, 2022
Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.
By Abraham Y
•May 9, 2023
Andrew does a great job of simplifying complex topics into digestible bites for the student. I have taken other ML courses on another platform, and there, the instructions were merely how to use canned algorithms. I did not learn much there. This course explains some of the math behind the scenes and thoroughly explains the how and the why.
By hassan m
•Apr 21, 2023
After completing supervised machine learning, I get acquainted with fundamental of machine learning and learned about regression and classification algorithms and many other features and how to apply them on over projects. Of course, I want to keep on learning and reviewing materials and learn other courses to be a machine learning engineer
By Amir Z
•Jan 18, 2023
Andrew explained difficult mathematical equations in a manner that make it easier to understand the concept of those strange formulas and actually how they were developed. I believe Although we may not use those formulas in real-world problems but understanding the concept will help us a lot in understanding any machine-learning algorithms.
By José I H
•Jan 11, 2023
Muy buen curso! Logré aprender las herramientas básicas de conocimiento sobre regresión lineal y logÃstica para luego continuar profundizando de forma independiente la librerÃa scikit learn y otras que automatizan los procesos, pero es fundamental saber qué es lo que está pasando al interior! Muy buen entendimiento de los conceptos básicos.
By Sanjay N
•Apr 30, 2023
Prof Ng does a fantastic job explaining complicated concepts in a simple way. The coding requirements are not too egregious and help to solidify the concepts for longer-term retention. I felt that I learned the basics very well, and could furthermore explain them to someone else as well, which is helpful in my work in Product Management.
By Ishan G
•Apr 30, 2024
Concepts were taught in a very visual manner right from the basics which made them crystal clear to me. The optional labs were amazing and helped me visualize the topics covered really well. Having a basic knowledge of Calculus, Linear Algebra, and Python is very helpful to fully understand the formulae for models, but it is not required.
By Deshad
•Apr 19, 2024
Course was very interesting to follow and definitely broadens the mind in the machine learning subject. Instructor walks through the concepts of supervised machine learning with understandable examples and great teaching techniques. definitely recommended. Thank you Stanford and Deeplearning for providing me financial aid for this course.
By Omid S B A
•Aug 16, 2023
this course was really helpful in order to make a person acquianted with the concept of machine learning and it's uses. But it can be better, maybe its my mistake but in optional labs if a person delete cells unintended, there is no way for recovery. So by solving this bug i believe this course and similar courses would be more efficient
By Alexandru-Samuel D
•May 29, 2023
Awesome course. Lots of high-quality material to explain the concepts. Optional code labs to gain intuition and both quizzes and practical labs to strengthen what you've learned. Also, the updated curriculum puts high emphasis on real-world tools (Numpy, scikit-learn) and concepts like regularization, feature engineering, feature scaling.
By Ananda B
•Mar 24, 2023
This is my first Machine Learning course and I am happy that I successfully completed it. This course is very beginner friendly. The course instructor explains the concepts with great simplicity. The optional labs are very helpful. It felt awesome throughout the course and I am super-excited to join the next course of this specialization.
By CSE-52-Sagnik K
•Oct 12, 2022
Great and easy to learn experience throughout the whole course ,every part was explained in details. This is not an criticism ,but I had slight problem understading the gradient descent of logistic regression. Needed to take help from your old videos in youtube. But most of all Thank you for this course,can't help to continue the second
By Armin F
•Aug 23, 2022
Great course. This class gave me better perspective of supervised learning. Data examination, Feature scaling, normalization and gradient descent discussed in context of both linear regression and logistic regression. Underfitting and overfitting (more data and regularization as a solution) was clearly explained.
I liked labs a lot. Thanks
By Shimeng
•Feb 8, 2024
I took a similar course in college and got a C, and I felt I never fully understood the concept. Now 10 years later, Andrew just makes it so much easier to understand the fundamental ideas of the concepts. Python and numpy also made it so much easier. I was able to blaze through and finish the entire course in just 3 nights. Thanks!
By SAMEER G
•Jul 15, 2023
It is a definitely great course. The Course Instructor Andrew Ng goes over the topics very well that even a layman can understand it intuitively. The mathematics for this course although not mandatory is actually useful to have some basic knowledge of statistics and calculus to understand the idea and methods behind the implementations.
By Chavhan Y N 5 I M S a T
•Jun 5, 2023
Great Learning!!
Pre-requisite : Basic python (it is needed to complete assignments and programming challenges)
Overall it is a great course to understand machine learning algorithms, including mathematical aspects of it. It also provides comprehensive explanation of Overfitting, Scaling, Normalization, Regularization and Sampling,etc.
By Satya P B
•Mar 29, 2024
It was really well design, interactive, and practice based course to learn Machine Learning. You not only learn theories, but also relates that to real world and write codes in practice lab. Overall it is a 100% recommended course. Even a beginner can learn and understand this course easily without any prior knowledge in coding, or ML.
By Khursiah Z M
•Nov 6, 2022
Andrew Ng is an excellent teacher. It's mind-blowing how he can explain everything clearly and effectively. When things get rough, his words of encouragement and persuasion feels like I have a chance to work at Google 😅. If you have background programming and used Python before, it will make you learn dan understand faster. Good luck!
By Luong M D
•Apr 28, 2024
I found this course to be excellent. I've grasped the concepts and terminology of machine learning, thanks to the clear instruction from the teacher. The examples provided were intuitive and engaging, making it easier to understand complex ideas. Additionally, the Jupiter Lab section offered detailed guidance, making coding a breeze.
By sri s h
•Sep 19, 2022
This course was very interesting. My mentor Mr.Andrew Ng well explained the concepts. They were easily understandable. since I am new to the world of programming, I am really happy and excited to fix the errors in my program. Thanks to my mentor and the course era team. This course will be very much helpful in upgrading my career.
By Hamid R
•Jun 27, 2023
A great course in machine learning. I learned a lot in this course and I definitely recommend it. Besides, it would've been great if they had some project besides the labs, though still it introduced me to a lot of excellent materials regarding machine learning, and I am looking forward to taking more courses in this specialization.
By Jayneel S
•Jul 9, 2022
It was a brilliant course and it helped me think more analytically. The practice labs and visualizations were spot on, they really helped in getting the intuition about what was being taught. Andrew Ng as usual was really great and explains everything quite nicely and calmly. The examples given by him complement the theory nicely.
By Aakash N
•Jun 25, 2023
I've always heard great things about this course and I was blown away by the quality of the content. Andrew Ng is a Great Teacher. He makes you feel right at home explaining complex topics by breaking them down into small easily digestible bits of information. I am definitely gonna take another specialisation from DeepLearning.AI.
By Todd H
•Jul 8, 2022
Extremely impressive content (video, labs, and supporting interactive visulations) that truly help build intuition for the problems solved, while simultaneously aiding understanding of how and why to code the functions to solve the problems. Light on soley math, light on soley code, heavy on the intersection of the math and code.
By Fengyi X
•Jan 16, 2024
Awesome course! The lecture is easy to learn and friendly to beginners. Many thanks to the professor and all the staff working for this amazing class. As a researcher in the social science field with limited Python knowledge, I learned a lot in this course and I'm considering the knowledge in my academic field. Huge thanks again!
By sameh a
•Nov 1, 2023
This course exceeded my expectations. The instructor's expertise and clear explanations made complex concepts easy to understand. The hands-on projects and real-world examples provided valuable practical experience. I highly recommend this course to anyone interested in mastering regression and classification in machine learning.