6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered.

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Machine Learning

Machine learning: from the basics to advanced topics. Includes statistics...

Machine learning: from the basics to advanced topics. Includes statistics...

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Nonlinear Econometric Analysis

This course presents micro-econometric models, including large sample theory...

This course presents micro-econometric models, including large sample theory...

Regression Models

Learn how to use regression models, the most important statistical analysis...

Learn how to use regression models, the most important statistical analysis...

Online Courses - Anytime, Anywhere

Covering every single skill you need to know to trade smartly and profitably...

Covering every single skill you need to know to trade smartly and profitably...

Introduction to Machine Learning (CSC2515, Fall 2008)

Introductory course in machine learning by world leading expert Geoffrey Hinton...

Introductory course in machine learning by world leading expert Geoffrey Hinton...

Time Series Analysis

The course provides a survey of the theory and application of time series methods...

The course provides a survey of the theory and application of time series methods...

还有标题«计算机科学»:

DNA Sequences: Alignments and Analysis

Learn how to align and analyze DNA sequences using web and software based tools...

Learn how to align and analyze DNA sequences using web and software based tools...

Software Testing Fundamentals

Learn how to locate software bugs and defects using the latest testing techniques...

Learn how to locate software bugs and defects using the latest testing techniques...

Cloud Computing Management

Learn methods for managing cloud computing projects and build an understanding...

Learn methods for managing cloud computing projects and build an understanding...

Data Science: R Basics

Build a foundation in R and learn how to wrangle, analyze, and visualize data...

Build a foundation in R and learn how to wrangle, analyze, and visualize data...

Data Science: Visualization

Learn basic data visualization principles and how to apply them using ggplot2...

Learn basic data visualization principles and how to apply them using ggplot2...

还有MIT OpenCourseWare:

Introduction to Computers and Engineering Problem Solving

This course presents the fundamentals of object-oriented software design and...

This course presents the fundamentals of object-oriented software design and...

Uncertainty in Engineering

This course gives an introduction to probability and statistics, with emphasis...

This course gives an introduction to probability and statistics, with emphasis...

Project Evaluation

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

Introduction to Civil Engineering Design

1.012 introduces students to the theory, tools, and techniques of engineering...

1.012 introduces students to the theory, tools, and techniques of engineering...

Computing and Data Analysis for Environmental Applications

This subject is a computer-oriented introduction to probability and data analysis...

This subject is a computer-oriented introduction to probability and data analysis...

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