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

4.6
stars
467 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

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.

AA

Sep 15, 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 89 Reviews for Probability & Statistics for Machine Learning & Data Science

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 18, 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 Ruoyan Q

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Sep 18, 2023

Great assignment, especially Week 1 and 4

By Aditi S

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May 14, 2024

this course Is good for data structures

By Haiyun H

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Aug 21, 2023

wonderful courses, Thank you very much

By Andres F G A

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Jun 14, 2024

This course is a jewel!

By Marc D

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Jul 11, 2024

Excellent didactic!

By Ni P M O H P

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Sep 26, 2023

Thank You So Much!

By sara m

•

Jun 9, 2024

amazing course

By Muhammad F F

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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 Daniel G

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Apr 30, 2024

very nice

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 KURELLA R

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Sep 17, 2024

GOOD

By syabiroe

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Nov 30, 2023

nice

By Alif W S

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Oct 2, 2023

Good