Name: Probability Foundations for Data Science and AI
Brand: University of Colorado Boulder
Availability: OnlineOnly
Rating: 4.5 (65 reviews)

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学生对 University of Colorado Boulder 提供的 Probability Foundations for Data Science and AI 的评价和反馈

4.5

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257 个评分

课程概述

Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on Coursera are ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://hua.dididi.sbs/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://hua.dididi.sbs/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash....

51 - Probability Foundations for Data Science and AI 的 63 个评论（共 63 个）

创建者 Жалғас Н М

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Oct 19, 2024

cfssfd

创建者 Bakhytzhan A A

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Oct 24, 2022

good

创建者 Bekzhan R

•

Oct 19, 2024

good

创建者 Издибаев С Е

•

Oct 9, 2023

good

创建者 Nussipov G E

•

Oct 20, 2022

goo

创建者 Әділ Ә Б

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Sep 24, 2025

][

创建者 Reza S

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Apr 18, 2023

This course was overall very helpful, well designed, and well delivered. There were some glitches in, for example, the auto grader. Also, I submitted a few questions, which to my best knowledge were not replied to. Please note that I was a paid student. Nevertheless, I'm very happy with this course and highly recommend it to others who want to learn about the subject.