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Learner Reviews & Feedback for Probability & Statistics for Machine Learning & Data Science by DeepLearning.AI

4.6
stars
545 ratings

About the Course

Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. After completing this course, you will be able to: • Describe and quantify the uncertainty inherent in predictions made by machine learning models, using the concepts of probability, random variables, and probability distributions. • Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science like Bernoulli, Binomial, and Gaussian distributions • Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems • Assess the performance of machine learning models using interval estimates and margin of errors • Apply concepts of statistical hypothesis testing to commonly used tests in data science like AB testing • Perform Exploratory Data Analysis on a dataset to find, validate, and quantify patterns. Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow visualizations to help you see how the math behind machine learning actually works.  We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use....

Top reviews

AA

Sep 16, 2024

this course is amazing! this course teachs how important probabilities is in machine learning and covers alots of topics where probabilities and statistics are useful in machine learning

HH

May 3, 2024

Thanks DeepLearning.AI for creating this specialization. I went from the guy that everytime i hear the word 'math i'd freakout to 'math is my lover'. Once again thank you for everything

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26 - 50 of 116 Reviews for Probability & Statistics for Machine Learning & Data Science

By Balu V

Dec 18, 2024

This course is the most challenging to understand in the specialization. There are numerous equations that, according to ChatGPT, have simple meanings. However, the lack of repetition and the rushed pace made me listen to the videos multiple times to grasp the topics.

By Abraham O

Oct 30, 2023

Great course but the stats aspect was not so clear, also labs should be in the videos and instead of do on big lab assignment at the end, it should be in intervals, so after 4 videos do an assignment. But over all good course

By andrew g

Apr 12, 2024

Fine. Didn't mention anything about ML so you'll just have to figure out how this relates on your own.

By Michal S

Feb 4, 2025

While I really enjoyed most of the courses, the last week content was rushed and difficult to digest.

By Rahul R

Mar 16, 2024

Last two weeks of the course are pretty hard to understand, it could've been made easier!

By Partha R

Feb 17, 2025

solid course, maybe more detail or more content, but overall very helpful

By Kenneth O

Feb 5, 2024

Material was a bit rushed

By Raj S

Mar 14, 2025

I think this is not a 4 week course and it felt like it went to fast. Especially for people who never took statistic as course during their college period, it is very hard to follow. Lots of concepts, formulas and videos are being covered in a very short time

By yatin m (

Mar 16, 2025

A lot of important things were missing in the course, which have to be seen outside the course material.

By Ehsan s

Jun 14, 2024

most of important topics were overlooked unfortunately. this instructor poorly explained important topics.

By Mehdi B H A

Oct 29, 2024

A total waste of money and mostly time. So chaotic and hard to follow. really disappointed

By Marcelo S

Jun 11, 2024

I enjoyed taking this course. The material was carefully crafted, and the labs and assignments were beneficial. If you are familiar with probability and statistics, you can easily navigate this course. However, if this subject is new, you may need to consult a reference book to complement the video lectures with book readings and exercises. In this case, the time to conclude the course may need to be extended (i.e., you must set your goals accordingly.) Overall, I am delighted with the course, and I want to congratulate the instructor and his supporting team for offering us this course.

By Amulya G

Jun 6, 2024

This course on Coursera exceeded my expectations. The 'Probability and Statistics for Machine Learning and Data Science' course is both thorough and accessible, making it perfect for learners at various stages. The interactive elements and hands-on projects enhance the learning experience, making the theoretical knowledge applicable to real-world problems. The instructors break down difficult topics into manageable sections, and the course structure is well thought out. I feel much more prepared to tackle machine learning challenges after completing this course.

By Marcus S

Feb 4, 2024

I took this to help prepare for my master's courses in ML, and I have to say, this helped me a lot. I was really surprised at the level of overlap from my master's courses and the content in this course. I think it did a really nice job explaining the notations, which I think is one of the biggest hurdles as to understanding statistics. I am very satisifed after taking this, and the items I learned in this course absolutely have application for the rest of my degree.

By Hợp N X

Dec 18, 2024

"A very helpful course that explains why formulas are formed, helping students retain knowledge longer. Since my understanding of Statistics is weak, I found it a bit challenging to follow and hope for more detailed lectures in the future. Linear Algebra: 5/5 stars, Calculus: 5/5 stars, Statistics and Probability: 4.5/5 stars. Heartfelt thanks to DeepLearning.AI and Professor Luis Serrano. <3"

By Pranav A

Oct 1, 2023

Excellent course with detailed training videos, illustrations & labs. Good mix of mathematical concepts with Python code. Would highly recommend for a mathematical student to start with Machine learning. Special thanks to Louis (instructor) for the design & presentation of the course.

By Aldiyar S

Jun 15, 2024

Super course. Very detailed and easily understandable. But not for beginners. The best advantage is that, this course is an one part of entire course which has three parts in total(another courses). This can complete your math skills in ML and DS.

By Lihan T

Aug 16, 2023

I love all the courses in this specialization! I appreciate how you made complex problems seems much easier to comprehend and also show real world applications of them so they have context. Thank you for these great courses!

By raju s

Nov 17, 2024

Content are well structured , I like the hands on labs which are close to IT data assignment.. Teaching method with practical explanation to under the concepts is good , which is able to understand concepts and apply ,..

By ANUPRIYA

Jun 8, 2024

The course is exceptional in all aspects. From teaching to assignments, the course is very well designed to maximise the learning outcomes. I recommend this course to everybody trying to enter into data science.

By Artinm89

Sep 16, 2024

this course is amazing! this course teachs how important probabilities is in machine learning and covers alots of topics where probabilities and statistics are useful in machine learning

By Harry.

May 3, 2024

Thanks DeepLearning.AI for creating this specialization. I went from the guy that everytime i hear the word 'math i'd freakout to 'math is my lover'. Once again thank you for everything

By Cat W

Feb 5, 2025

Very fun intuitive way to learn probability and statistics. Mr. Serrano gave me an understanding of what the concepts truly mean and why which I have never had before. Thank you!

By Tanmay J

Sep 23, 2023

The course was very detailed and interactive, which made learning about statistics and probability easy. The engaging visuals were a great aid in understanding the concepts.

By Mohamed B ( Y S

Mar 9, 2025

The course is very organized. It helped me go through the basics I needed with ML & DS in focus on how and why every part is used in ML applications.