Machine learning links

• Useful links on machine learning - https://wiki.opendaylight.org/view/Useful_Links_and_Learning_materials
• Data science related:
  • https://github.com/ujjwalkarn/DataSciencePython
  • https://github.com/ujjwalkarn/Machine-Learning-Tutorials
• Apache log analysis using machine learning - http://archive.ceciis.foi.hr/app/public/conferences/1/papers2013/627.pdf
• Threat hunting with Splunk - https://www.slideshare.net/Splunk/threat-hunting-with-splunk-68083379
• Reliable machine learning algorithms for intrusion detection systems - https://brage.bibsys.no/xmlui/bitstream/id/101910/Thesis_Electronic_Version_HaiThanhNguyen.pdf
• Cloud security dashboard using machine learning - https://lib.ugent.be/fulltxt/RUG01/002/367/128/RUG01-002367128_2017_0001_AC.pdf
• DDoS attack detection - https://mafiadoc.com/an-approach-of-ddos-attack-detection-using-classifiers-springer-link_59d494961723ddc3d48b4786.html
• Anomaly detection using server logs - www.vtt.fi/inf/pdf/tiedotteet/2009/T2480.pdf
• Log based anomaly detection - http://publications.lib.chalmers.se/records/fulltext/219089/219089.pdf
• Anomaly detection engine for linux logs - https://github.com/openmainframeproject/ade
• Machine learning blogs - http://alexhwoods.com/category/machine-learning/
• Decision tree explained in simple terms - https://medium.com/machine-learning-101/chapter-3-decision-trees-theory-e7398adac567
• Random forest classifier - https://medium.com/machine-learning-101/chapter-5-random-forest-classifier-56dc7425c3e1
• Similarity measures:
  • http://techinpink.com/2017/08/04/implementing-similarity-measures-cosine-similarity-versus-jaccard-similarity/
  • http://dataaspirant.com/2015/04/11/five-most-popular-similarity-measures-implementation-in-python/
• Data science handbook - https://notebooks.azure.com/jakevdp/libraries/PythonDataScienceHandbook
• 10 statistical techniques to master - https://medium.com/towards-data-science/the-10-statistical-techniques-data-scientists-need-to-master-1ef6dbd531f7
• Machine learning cheat sheets - https://medium.com/towards-data-science/top-6-cheat-sheets-novice-machine-engineers-need-5ea43d1be3de
• Python clustering exercises - https://github.com/benjaminwilson/python-clustering-exercises
• Tensorflow 101 - https://mubaris.com/2017-10-21/tensorflow-101
• Bayesian modelling techniques in python -https://github.com/markdregan/Bayesian-Modelling-in-Python
• Machine learning by example - https://github.com/lazyprogrammer/machine_learning_examples
• Mumbai NSE hackathon - https://github.com/NaruBeast/computer-security-monitoring-using-ml
• https://github.com/NaruBeast/ml-data-science-udemy
• https://github.com/mdegis/machine-learning
• https://github.com/eriklindernoren/ML-From-Scratch