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Comprehensive Intro to Machine Learning by Stanford Online

Master Machine Learning: Stanford EE104 - Empower Your Future with 19 Rich Lectures on Key Concepts, from Predictors to Neural Networks and Unsupervised Learning!

4.0 (39)

287 learners

What you'll learn

Understand the fundamentals of machine learning algorithms and their applications.
Develop skills to validate and evaluate machine learning models effectively.
Learn to apply empirical risk minimization techniques to various learning problems.
Gain proficiency in implementing and interpreting neural networks and classifiers.

This course includes

14 hours of video
Certificate of completion
Access on mobile and TV

Course content

1 modules • 19 lessons • 14 hours of video

Comprehensive Intro to Machine Learning by Stanford Online

19 lessons • 14 hours

▶

Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 1 - course information04:00
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture - 2 overview39:30
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 3 - predictors01:01:30
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 4 - validation48:26
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 5 - features01:13:39
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 6 - empirical risk minimization01:04:33
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 7 - constant predictors50:52
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 8 - non quadratic losses39:08
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 9 - house prices example38:39
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 10 - non quadratic regularizers50:11
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 11 - neural networks37:36
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 12 - classifiers55:52
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 13 - erm for classifiers35:21
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 14 - Boolean classification40:48
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 15 - multiclass classification33:48
Stanford EE104: Intro to Machine Learning | 2020 | Lecture 16 - probabilistic classification43:44
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 17-erm for probabilistic classif.36:59
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 18 - unsupervised learning42:59
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 19 - principal components analysis45:03

machine learning

Stanford

lecture series

introduction

EE104

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