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Introduction to Machine Learning: Supervised Learning(으)로 돌아가기

콜로라도 대학교 볼더 캠퍼스의 Introduction to Machine Learning: Supervised Learning 학습자 리뷰 및 피드백

3.2
별점
19개의 평가

강좌 소개

In this course, you’ll be learning various supervised ML algorithms and prediction tasks applied to different data. You’ll learn when to use which model and why, and how to improve the model performances. We will cover models such as linear and logistic regression, KNN, Decision trees and ensembling methods such as Random Forest and Boosting, kernel methods such as SVM. Prior coding or scripting knowledge is required. We will be utilizing Python extensively throughout the course. In this course, you will need to have a solid foundation in Python or sufficient previous experience coding with other programming languages to pick up Python quickly. We will be learning how to use data science libraries like NumPy, pandas, matplotlib, statsmodels, and sklearn. The course is designed for programmers beginning to work with those libraries. Prior experience with those libraries would be helpful but not necessary. College-level math skills, including Calculus and Linear Algebra, are required. Our hope for this course is that the math will be understandable but not intimidating. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings 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 MS-DS is 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://www.coursera.org/degrees/master-of-science-data-science-boulder....

최상위 리뷰

필터링 기준:

Introduction to Machine Learning: Supervised Learning의 12개 리뷰 중 1~12

교육 기관: Alessandro U

2022년 8월 30일

교육 기관: Zehu C

2022년 4월 4일

교육 기관: Pratik P

2022년 7월 19일

교육 기관: Miguel D B

2022년 9월 1일

교육 기관: Mahmudul H

2022년 5월 21일

교육 기관: Vishal P

2022년 6월 16일

교육 기관: Ashish R

2022년 6월 21일

교육 기관: Francesco M

2022년 11월 4일

교육 기관: Nathan H

2022년 4월 5일

교육 기관: Js S

2022년 8월 24일

교육 기관: Donald F

2022년 11월 20일

교육 기관: Mario A h C

2022년 5월 14일