Image

Machine Learning

Data Analysis And Visualization of Data
User avatar
Shahram
Posts: 313
Joined: Sun Feb 05, 2017 8:31 am

Machine Learning

Postby Shahram » Fri Sep 15, 2017 11:49 am

Machine learning is an application of artificial intelligence that automates analytical model building by using algorithms that iteratively learn from data without being explicitly programmed where to look. It constitutes subfield of computer science that, according to Arthur Samuel, gives "computers the ability to learn without being explicitly programmed."Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "machine learning" in 1959 while at IBM[citation needed]. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions,:2 through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank, and computer vision.

Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.


https://en.wikipedia.org/wiki/Machine_learning



User avatar
Shahram
Posts: 313
Joined: Sun Feb 05, 2017 8:31 am

Re: Machine Learning

Postby Shahram » Fri Sep 15, 2017 7:23 pm

Jake VanderPlas: Basic Principles of Machine Learning for Astronomy with python

https://www.youtube.com/watch?v=1Rg2LZeGGzk



User avatar
Shahram
Posts: 313
Joined: Sun Feb 05, 2017 8:31 am

Re: Machine Learning

Postby Shahram » Mon Jan 22, 2018 9:21 pm

This is a simple and general introduction to machine learning:

https://www.youtube.com/watch?v=nKW8Ndu7Mjw



User avatar
Shahram
Posts: 313
Joined: Sun Feb 05, 2017 8:31 am

Re: Machine Learning

Postby Shahram » Mon Jan 22, 2018 9:33 pm

MIT open course on Artificial Intelligence:
Link

MIT open course on "Introduction to Computational Thinking and Data Science"

Link

And this is for machine learning:
https://www.youtube.com/watch?v=h0e2HAPTGF4



Stanford course on machine learning:
https://www.youtube.com/view_play_list?p=A89DCFA6ADACE599



User avatar
Shahram
Posts: 313
Joined: Sun Feb 05, 2017 8:31 am

Re: Machine Learning

Postby Shahram » Fri Jan 26, 2018 11:54 am

Trevor Hastie gives a talk about data science and statistical learning.

https://www.youtube.com/watch?v=zBk3PK3g-Fc




Return to “Data Analysis And Visualization”

Who is online

Users browsing this forum: No registered users and 1 guest