TsinghuaX: Big Data Machine Learning | 大数据机器学习
The "Big Data Machine Learning" course is a basic theoretical course for senior undergraduates or graduate students in the information discipline. The purpose is to cultivate students to have an in-depth understanding of the theoretical basis of big data machine learning, a firm grasp of big data machine learning methods, and the ability to solve practical problems. and other comprehensive abilities. The main contents of the course include: basic theories of statistical learning, basic methods of machine learning, and deep learning theories and methods.
16 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Big Data Machine Learning | 大数据机器学习
At a glance
- Institution: TsinghuaX
- Subject: Computer Science
- Level: Introductory
- Prerequisites: None
- Language: 中文
- Video Transcript: 中文
- Associated programs:
- Professional Certificate in 数据科学 | Data Science
- Associated skills:Deep Learning, Machine Learning Algorithms, Big Data, Machine Learning
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.This course is part of 数据科学 | Data Science Professional Certificate Program
Learn moreExpert instruction
6 skill-building courses
Self-paced
Progress at your own speed
2 years
3 - 5 hours per week
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