To support our site, Class Central may be compensated by some course providers.

Learning from Data (Introductory Machine Learning course)

California Institute of Technology

students interested

Taken this course? Share your experience with other students. Write review

Overview

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from 15 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. The lectures below follow each other in a story-like fashion:

  • What is learning?
  • Can a machine learn?
  • How to do it?
  • How to do it well?
  • Take-home lessons.

Syllabus

 

 

Taught by

Yaser Abu-Mostafa

Reviews for Learning from Data (Introductory Machine Learning course)
4.5 Based on 8 reviews

  • 5 stars 75%
  • 4 star 0%
  • 3 stars 25%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Hchan H
5.0 3 years ago
by Hchan completed this course, spending 12 hours a week on it and found the course difficulty to be hard.
The best online machine learning course I've taken (I've completed courses by Andrew Ng as well as Hastie and Tibshirani et al), this course covers rigorous theory as well as practical aspects, setting you up for a very solid foundation for future study in machine learning. Assignments are challenging and really require you to understand and engage with the material. Prof Abu-Mostafa's teaching quality is amazing and even highly complex concepts are clearly presented.
13 people found
this review helpful
Was this review helpful to you? Yes
Ronny W
5.0 a year ago
by Ronny completed this course, spending 10 hours a week on it and found the course difficulty to be hard.
Excellent caltech course which runs in parallel with the on-site university class.

Good theoretical coverage and applied programming exercises. Highly dedicated teacher and teaching assistants, closely following up the discussion forum. recommended for every serious data scientist. One of the best MOOCs I've completed. More elaborated than Andrew Ng's intro to Machine Learning.
Was this review helpful to you? Yes
Harish R
5.0 a year ago
by Harish completed this course.
0 person found
this review helpful
Was this review helpful to you? Yes
Jason C
5.0 2 years ago
by Jason audited this course.
0 person found
this review helpful
Was this review helpful to you? Yes
Asr A
5.0 2 years ago
by Asr completed this course.
0 person found
this review helpful
Was this review helpful to you? Yes
Lars A
5.0 a year ago
by Lars completed this course.
Was this review helpful to you? Yes
Rafael P
3.0 3 years ago
Rafael completed this course.
0 person found
this review helpful
Was this review helpful to you? Yes
Colin K
3.0 2 years ago
by Colin completed this course.
0 person found
this review helpful
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.