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 blog.ml.cmu.edu
How to Regularize Your Regression - Machine Learning Blog | ML@CMU | Carnegie Mellon University
| | brenocon.com
Statistics vs. Machine Learning, fight! | AI and Social Science - Brendan O'Connor
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| | [AI summary] The provided text is a collection of comments and discussions from a blog post that originally criticized artificial neural networks (ANNs) in 2008. The comments reflect a range of opinions and debates about the relationship between machine learning (ML) and statistics, with some users defending ML techniques like support vector machines (SVMs), probabilistic graphical models, and deep learning, while others argue for the importance of statistical methods. There are also discussions about the need for better communication between disciplines, the limitations of ML approaches, and the importance of understanding the underlying assumptions of models. The text includes recommendations for textbooks and courses, such as 'All of Statistics' and Andre...
| | iamirmasoud.com
Machine Learning Interview: Classical Algorithms
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| | Amir Masoud Sefidian
| | www.unofficialgoogledatascience.com
Towards optimal experimentation in online systems
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| | by CHRIS HAULK It is sometimes useful to think of a large-scale online system ( LSOS ) as an abstract system with parameters $X$ affecting r...
| | initialcommit.com
Top-down approach to Machine Learning (Updated 2019)
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| Learn Machine Learning (ML) and be ahead of the pack in the Software industry. Machine Learning is a sub-field of Artificial Intelligence (A.I), which is heavily used in modern software systems. Machine Learning algorithms can improve software (a robot) and it's ability to solve problems through gaining experience and knowledge.