關於此 專項課程
61,072 次近期查看

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為8 個月

建議 7 小時/週

英語(English)

字幕:英語(English), 韓語, 越南語, 中文(簡體), 阿拉伯語(Arabic)

您將獲得的技能

Data Clustering AlgorithmsMachine LearningClassification AlgorithmsDecision Tree

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為8 個月

建議 7 小時/週

英語(English)

字幕:英語(English), 韓語, 越南語, 中文(簡體), 阿拉伯語(Arabic)

學習Specialization的學生是

  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Risk Managers
  • Data Engineers

專項課程的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 4 門課程

課程1

机器学习基础:案例研究

4.6
8,870 個評分
2,121 個審閱
課程2

Machine Learning: Regression

4.8
4,334 個評分
821 個審閱
課程3

Machine Learning: Classification

4.7
2,848 個評分
475 個審閱
課程4

Machine Learning: Clustering & Retrieval

4.6
1,739 個評分
299 個審閱

講師

Avatar

Carlos Guestrin

Amazon Professor of Machine Learning
Computer Science and Engineering
Avatar

Emily Fox

Amazon Professor of Machine Learning
Statistics

行業合作夥伴

Industry Partner Logo #0

關於 华盛顿大学

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • 此专项课程不提供大学学分,但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 8 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • You should have some experience with computer programming; most assignments in this Specialization will use the Python programming language. This Specialization is designed specifically for scientists and software developers who want to expand their skills into data science and machine learning, but is appropriate for anyone with basic math and programming skills and an interest in deriving intelligence from data.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to use machine learning techniques to solve complex real-world problems, by identifying the right method for your task, implementing an algorithm, assessing and improving the algorithm’s performance, and deploying your solution as a service.

還有其他問題嗎?請訪問 學生幫助中心