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学生对 DeepLearning.AI 提供的 Probability & Statistics for Machine Learning & Data Science 的评价和反馈

4.6
598 个评分

课程概述

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....

热门审阅

YG

May 21, 2025

It was very helpful course. It starts from the bare minimum but gradually you get to the point where you find yourself in Statistopia ???. Big applaud and thanks to Luis and also DeepLearning.AI

HH

May 2, 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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51 - Probability & Statistics for Machine Learning & Data Science 的 75 个评论(共 126 个)

创建者 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!

创建者 Mohamed B ( B

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.

创建者 Don S

Jan 23, 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;

创建者 Ramin M

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!

创建者 Edi W

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.

创建者 Eric M

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).

创建者 Mayank R

Jun 2, 2024

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

创建者 Gianni K B

Dec 20, 2023

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

创建者 Honza Z

Jul 17, 2023

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

创建者 roy r r

Nov 13, 2023

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

创建者 Youngju L

Feb 27, 2025

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

创建者 Siva S P

Jan 16, 2024

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

创建者 Carlos J C H

May 4, 2025

Un curso que proporciona lo esencial de estadística y probabilídades para casos de data Science.

创建者 Janmajay K

Oct 5, 2023

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

创建者 Jairo B (

Jan 21, 2025

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

创建者 Wynona R N

Oct 14, 2023

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

创建者 Carlos

Jul 11, 2024

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

创建者 Daniel T J

Sep 20, 2023

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

创建者 Michael Y

May 9, 2024

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

创建者 Dani

Feb 8, 2025

The best choice for starting machine learning and data science

创建者 Abdullah M

Feb 29, 2024

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

创建者 Pavol D

Jun 9, 2024

Great course and instructor goes long way to explain stuff.

创建者 David K

Jul 23, 2024

Good course for beginners or those needing a refresher.

创建者 Ahmed a

Aug 18, 2023

This is course is just mind-blowing whie simple.

创建者 Amr S

Jan 24, 2024

Fantastic, I love this specialization,thanks