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Back to Probability & Statistics for Machine Learning & Data Science

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

4.6
stars
549 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鈥檒l 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: 鈥� Describe and quantify the uncertainty inherent in predictions made by machine learning models, using the concepts of probability, random variables, and probability distributions. 鈥� Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science like Bernoulli, Binomial, and Gaussian distributions 鈥� Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems 鈥� Assess the performance of machine learning models using interval estimates and margin of errors 鈥� Apply concepts of statistical hypothesis testing to commonly used tests in data science like AB testing 鈥� 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.聽 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鈥檒l use....

Top reviews

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

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

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51 - 75 of 116 Reviews for Probability & Statistics for Machine Learning & Data Science

By Don S

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Jan 24, 2025

a very nice course; helped me improve my understanding of probability and statistics in preparation for doing an on-campus masters in AI in the UK;

By Ramin M

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Jan 4, 2025

It was a great learning experience, and all the examples were carefully chosen with a special focus on machine learning. Well done and thank you!

By Edi W

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Dec 17, 2024

Very thorough and give me necessary skill of probability and statistics that relevant in my job of data science and machine learning.

By Eric M

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Aug 30, 2024

Clear, serious and captivating. I think that i now have a toolbox even though i was allergic to the matter (stats and prob).

By Mayank R

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Jun 3, 2024

Very nicely explained. Lab assignments provide a great opportunity to implement the concepts learnt on real world use cases.

By Gianni K B

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Dec 21, 2023

Excellent course, I enjoyed every lesson, the teachers are great they explain complex concept in easy way I love it!!!

By Honza Z

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Jul 18, 2023

Nice recap of what we should now from university. The way of explanation with using examples was really helpful.

By roy r r

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Nov 13, 2023

Very good course! Highly recommended to those who are just starting to learn mathematics for machine learning

By Youngju L

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Feb 27, 2025

Visual and concise explanations allowed me to understand the fundamental concepts and their applications.

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 6, 2023

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

By Jairo B (

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Jan 22, 2025

Statistics involves a high cognitive load due to its complexity and abstract reasoning.

By Wynona R N

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Oct 14, 2023

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

By Carlos

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Jul 11, 2024

Very complete course to refresh and get some new knowledge to use in Machine Learning

By Daniel T J

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Sep 21, 2023

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

By Michael Y

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May 10, 2024

Excellent course! Great instructor, useful exercises, amazing slides.

By Dani

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Feb 8, 2025

The best choice for starting machine learning and data science

By Abdullah M

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Feb 29, 2024

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

By Pavol D

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Jun 9, 2024

Great course and instructor goes long way to explain stuff.

By David K

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Jul 23, 2024

Good course for beginners or those needing a refresher.

By Ahmed a

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Aug 19, 2023

This is course is just mind-blowing whie simple.

By Amr S

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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 Tilakraj G

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Dec 22, 2024

Excellent content and excellent instructor