Computational Introduction to machine learning

AI Thread Summary
The discussion centers on finding introductory resources for machine learning, specifically focusing on understanding the advantages and disadvantages of various machine learning methods without delving into implementation details. Participants highlight the importance of brushing up on statistics, with references to foundational texts such as "Introduction to Mathematical Statistics" by Hogg and Craig, "Data Reduction and Error Analysis" by Bevington, and "An Introduction to Error Analysis" by Taylor. A notable recommendation is the freely available "The Elements of Statistical Learning" by Hastie, Tibshirani, and Friedman, which is praised for its accessibility and comprehensive coverage of statistical learning concepts. There is also a suggestion to create a dedicated section for machine learning resources in the forum.
Frabjous
Gold Member
Messages
1,952
Reaction score
2,382
Can anyone provide a good introductory reference to machine learning. Right now, I am interested in understanding the advantages and disadvantages of the various ML methods. I am not currently interested in detailed descriptions of their implementation.

I am probably going to have to brush up on my statistics. So I am also looking for a reference for this. Back in the day, I studied

Hogg,Craig Introduction to Mathematical Statistics (4th edition)
Bevington Data Reduction and Error Analysis
Taylor An Introduction to Error Analysis

although it is questionable how much I remember.
 
Last edited:
Physics news on Phys.org

Thread 'Hassani's books on Mathematical Physics/Methods'

By looking around, it seems like Dr. Hassani's books are great for studying "mathematical methods for the physicist/engineer." One is for the beginner physicist [Mathematical Methods: For Students of Physics and Related Fields] and the other is [Mathematical Physics: A Modern Introduction to Its Foundations] for the advanced undergraduate / grad student. I'm a sophomore undergrad and I have taken up the standard calculus sequence (~3sems) and ODEs. I want to self study ahead in mathematics...
View full post »

Similar threads

Prob/Stats Books on Machine Learning without a strong math background required
Replies
10
Views
5K
Other Finding the Perfect Machine Learning Textbook for a Physics BSc
Replies
9
Views
4K
Courses Which of these Machine Learning courses should I attend?
Replies
5
Views
2K
Applied Differential geometry for Machine Learning
Replies
1
Views
4K
Any thoughts on Introduction to Mathematical Statistics by Hogg, Craig, and McKean?
Replies
3
Views
10K
Honest advice needed to pursue a 2nd MSc in data science
Replies
3
Views
2K
How should a physicist learn Machine Learning?
Replies
5
Views
2K
A Applications of analysis in signal processing/machine learning?
Replies
5
Views
2K
Which Statistics Book for Error Analysis & Data Fitting?
Replies
3
Views
3K
What are the Limitations of Machine Learning in Causal Analysis?
2
Replies
63
Views
10K

Hot Threads

Recent Insights

Back
Top