As a computer science student with a strong grasp of algorithms, data structures and discrete mathematics, (but with no experience or coursework in machine learning) what things should I do to learn what it takes to take part in Kaggle contests?
-
-
Answer:
Brush up your mathematics skill. You will need them a lot for machine learning. Mainly study Linear Algebra ,Probability and Multivariable Calculus. MIT OCW can help you a lot. For ML good knowledge of mathematics is as important as algorithms For machine learning Andrew Ngâs lecture on youtube are good starting point though a bit heavy for beginner. You can also try his course in Coursera which is much easier. Be comfortable in Matlab/R or Python(Numpy-SciPy). They will allow you to prototype easily
Neel Choudhury at Quora Visit the source
Related Q & A:
- Is a Computer Science Degree considered a technical degree?Best solution by Yahoo! Answers
- What kind of jobs can I get with a computer science degree?Best solution by Yahoo! Answers
- What can I expect when I do a computer science major?Best solution by Yahoo! Answers
- What can I do with a computer science degree besides web development or IT?Best solution by worldwidelearn.com
- Is a Computer Science major good for what I want to do?Best solution by collegexpress.com
Just Added Q & A:
- How many active mobile subscribers are there in China?Best solution by Quora
- How to find the right vacation?Best solution by bookit.com
- How To Make Your Own Primer?Best solution by thekrazycouponlady.com
- How do you get the domain & range?Best solution by ChaCha
- How do you open pop up blockers?Best solution by Yahoo! Answers
For every problem there is a solution! Proved by Solucija.
-
Got an issue and looking for advice?
-
Ask Solucija to search every corner of the Web for help.
-
Get workable solutions and helpful tips in a moment.
Just ask Solucija about an issue you face and immediately get a list of ready solutions, answers and tips from other Internet users. We always provide the most suitable and complete answer to your question at the top, along with a few good alternatives below.