ML ML Useful links

Updated

For use of the development environment:

Important library/documentation for Machine Learning, All about modelling and algorithms, sklearn
https://scikit-learn.org/stable

Important documentation for Python, Syntax, semantic and functions etc.

https://docs.python.org/3.9

Simple explanations on ML-models

https://towardsdatascience.com

Machine Learning Glossary

https://ml-cheatsheet.readthedocs.io

MatPlot Library
https://matplotlib.org/3.1.0/tutorials/introductory/pyplot.html

The revival of ML: ML Strikes back!

T. M. Mitchell, Machine learning, International ed., [Reprint.]. New York, NY: McGraw-Hill, 1997.

Wikipidea.org

 'Machine Learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Machine_learning.

‘Supervised learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Supervised_learning

‘Unsupervised learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Unsupervised_learning.

‘Semi-supervised learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Semi-supervised_learning
.
‘Reinforcement learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Reinforcement_learning.

‘Online machine learning’, Wikipedia.org.  [Online]. Available:https://en.wikipedia.org/wiki/Online_machine_learning

‘External memory algorithm’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/External_memory_algorithm.

‘Instance-based learning’, Wikipedia.org.  [Online]. Available: https://en.wikipedia.org/wiki/Instance-based_learning.

YouTube Videos

J. Starmer,Machine Learning. 2020 [Online].
Available:https://www.youtube.com/watch?v=Gv9_4yMHFhI&list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF

Available: https://www.youtube.com/watch?v=efR1C6Cvhm

E. J. Starmer, Support Vector Machines Part 2: The Polynomial Kernel. 2019 [Online].
Available: https://www.youtube.com/watch?v=Toet3EiSFcM.

J. Starmer, Principal Component Analysis (PCA) clearly explained (2015). 2015 [Online].
Available: https://www.youtube.com/watch?v=_UVHneBUBW0. [Accessed: 18-Dec-2019]

J. Starmer, StatQuest: Principal Component Analysis (PCA), Step-by-Step. 2018 [Online].
Available: https://www.youtube.com/watch?v=FgakZw6K1QQ. [Accessed: 18-Dec-2019]

J. Starmer, Machine Learning Fundamentals: Sensitivity and Specificity. 2019 [Online].
Available: https://www.youtube.com/watch?v=vP06aMoz4v8. [Accessed: 18-Dec-2019]

J. Starmer, Machine Learning Fundamentals: Bias and Variance. 2018 [Online].
Available: https://www.youtube.com/watch?v=EuBBz3bI-aA. [Accessed: 18-Dec-2019]

MNIST Resources

Y. LeCun, C. Cortes, and C. J. C. Burges, ‘The MNIST database of handwritten digits’.  [Online].
Available: http://yann.lecun.com/exdb/mnist/. [Accessed: 18-Dec-2019]

Machine Learning Applied

D. Silver and D. Hassabis, ‘AlphaGo: Mastering the ancient game of Go with Machine Learning’, Google AI Blog. 27-Jan-2016 [Online].
Available: https://ai.googleblog.com/2016/01/alphago-mastering-ancient-game-of-go.html. [Accessed: 18-Dec-2019]

The AlphaStar team, ‘AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning’, DeepMind Blog. 30-Oct-2019 [Online]. Available: https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning.

OpenAI, ‘OpenAI Five Defeats Dota 2 World Champions’. 15-Apr-2019 [Online].
Available: https://openai.com/blog/openai-five-defeats-dota-2-world-champions/.

‘OpenML’.  [Online].
Available: https://www.openml.org/. [Accessed: 18-Dec-2019]

V. Savov, ‘iPhone X announced with edge-to-edge screen, Face ID, and no home button’, The Verge, 12-Sep-2017 [Online]. Available: https://www.theverge.com/2017/9/12/16288806/apple-iphone-x-price-release-date-features-announced. [Accessed: 18-Dec-2019]

M. Wang and W. Deng, ‘Deep Face Recognition: A Survey’, arXiv:1804.06655 [cs], Feb. 2019 [Online]. Available: http://arxiv.org/abs/1804.06655. [Accessed: 19-Dec-2019]

Machine Learning and IT-Security

‘2019 Global Phish Report - Avanan’, Avanan, 2019 [Online].
Available: https://www.avanan.com/hubfs/2019-Global-Phish-Report.pdf. [Accessed: 18-Dec-2019]

W. Connell, StreamingPhish. 2019 [Online].
Available: https://github.com/wesleyraptor/streamingphish.

A. Taylor, ‘Applied Data Science and Machine Learning for Cybersecurity - SANS Tactical Detection Summit 2018’, 2018 [Online].
Available: https://www.youtube.com/watch?v=m2AgYbbXz8k.

C. Chio and D. Freeman, Machine learning and security: protecting systems with data and algorithms,
First edition. Beijing Boston Farnham Sebastopol Tokyo: O’Reilly, 2018.