Road Map

Course content is updated twice a month, on the first and third thursday. Below are new pages, sections, projects and other updates which are coming soon. You can support the development of new content through Patreon.

Mar 4, 2021

March 4th Update

  • Open Source Machine Learning Tools (Resources)
  • More detail soon.

Contents to Come

Eventually, the Algorithms & Techniques section will include:

  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Network (RNN)
  • Decision Tree
  • Deep Belief Network (DBN)
  • Regression
  • Support Vector Machine (SVM)
  • k- Nearest Neighbours (kNN)
  • Random Forest
  • And more.

Eventually, the Open Datasets & Analysis section will include:

  • URG16
  • DARPA 1998/99
  • KDDCup 1999
  • Sperotto 2009
  • NSL-KDD 2009
  • MAWI 2010
  • UNB ISCX 2012
  • CTU-13
  • UNSW-NB15
  • And more.

Additionally, not listed in the contents currently are pages on Preprocessing, Feature Engineering, and further pages on TensorFlow and Keras, among others. These will be created in the near future. Projects on a number of subjects will be created: Automated Email Malware Collection, Facial Recognition for OSINT (Open Source Intelligence) and Attack Prediction/Projection, among others. Projects are designed to be useful tools, interesting and the core learning be applicable to other projects you may have. If you have an idea for a project theme, please get in touch.

Introduction
Datasets & Data Collection
Training Models
Algorithms & Techniques
Open Datasets & Analysis
Resources