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

4.6
stars
319 ratings

About the Course

Mathematics for Machine Learning and Data science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. After completing this course, learners 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 struggle with mathematics. Challenging interview questions often hold people back from leveling up in their careers, and even experienced practitioners can feel held 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 plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career....

Top reviews

NP

Aug 8, 2023

Extraordinary course. With clear explanations and animation video. I learned Probability and statistics before but forgot a lot. This course helps me reinforce my knowledge about this subject as well.

TJ

Sep 22, 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.

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26 - 50 of 59 Reviews for Probability & Statistics for Machine Learning & Data Science

By Siva S P

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Jan 16, 2024

Perfect blend of Math and Python to have a Deep Basic foundation in Machine Learning and Data Science

By Janmajay K

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Oct 5, 2023

Best Course for statistics beginners. It saves tons of hours from digging book or sources.

By Wynona R N

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Oct 14, 2023

Great explanation. Easy to understand. The labs are understandable and very practical.

By Daniel T J

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Sep 20, 2023

Very good explanations, great labs, and easy to accomodate it to your pace!

By Abdullah M

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Feb 29, 2024

The best statistic course i have taken so far. Simply amazing

By Ahmed a

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Aug 18, 2023

This is course is just mind-blowing whie simple.

By Amr S

•

Jan 24, 2024

Fantastic, I love this specialization,thanks

By DuNo

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Mar 21, 2024

harder to understand than first two courses

By kaleem u

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Nov 12, 2023

Best course to learn Inferential Statistics

By Ruoyan Q

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Sep 18, 2023

Great assignment, especially Week 1 and 4

By Haiyun H

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Aug 21, 2023

wonderful courses, Thank you very much

By Ni P M O H P

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Sep 26, 2023

Thank You So Much!

By Muhammad F F

•

Mar 27, 2024

Good material

By Sabeur M

•

Jan 15, 2024

Great cours

By Aini N

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Sep 21, 2023

its amazing

By Muhammad K I

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Mar 27, 2024

awesome

By Nanda P N N

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Mar 22, 2024

COOLLLL

By Dwiki H

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Sep 29, 2023

so cool

By Ni K P S

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Sep 28, 2023

Great!

By Daniel K

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Apr 14, 2024

great

By Laila H K

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Nov 30, 2023

nice

By Alif W S

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Oct 2, 2023

Good

By Adek P D

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Sep 29, 2023

nice

By Tampan S M

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Oct 10, 2023

-

By Nguyễn Q P

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Dec 17, 2023

There are some confused terminologies to me