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Statistical Learning Theory courses 8

Learn Statistical Learning Theory online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Stanford University

Statistical Learning with R

4.456 ratings

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Stanford University

Statistical Learning with Python

4.625 ratings

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

MIT OpenCourseWare

Topics in Statistics: Statistical Learning Theory

The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empiri…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Indian Institute of Management Bangalore

Foundations of Data Science

Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.

  • edX
  • Fixed dates
  • Free to audit
  • Paid certificate
  • Intermediate

MIT OpenCourseWare

Statistical Learning Theory and Applications

Focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. Develops basic tools such as Regularization including Support Vector Machines for regression and classification.…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MIT OpenCourseWare

Statistical Learning Theory and Applications

This course is for upper-level graduate students who are planning careers in computational neuroscience. This course focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse d…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MIT OpenCourseWare

Networks for Learning: Regression and Classification

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed i…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Tsinghua University

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 m…

  • edX
  • 16 weeks, 3 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

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