====== Online courses & Books ======

===== Data Mining =====

  * [[.courses:data_mining:pattern_discovery:pattern_discovery|Pattern Discovery in Data Mining]]

===== Data Science =====

  * [[.courses:data_science:data_science_toolbox:intro|Data Science Toolbox]]
  * [[.courses:data_science:statistical_inference:intro|Statistical Inference]]

===== Machine Learning =====

  * [[.courses:machine_learning:machine_learning:intro|Introduction to Machine Learning]]
  * [[.courses:machine_learning:neural_networks:intro|Neural Networks for Machine Learning]]
  * [[.courses:machine_learning:rbms:rbms_intro|Restricted Boltzmann Machines & RNNs]]

===== Maths =====

  * Patrick Flandrin - Empirical Mode Decomposition
  * 2018 - Maximal Overlap Discrete Wavelet Transform **[Too complex: not completely clear yet]**

===== Finance =====

  * [[.courses:finance:computational_finance:intro|Computational Finance and Financial Econometrics]]
  * [[.courses:finance:computational_investing:intro|Computational Investing]] **[TODO]**
  * [[.books:eleftherios_soulas_2013_online_machine_learning_algorithms:intro|Eleftherios Soulas - 2013 - Online machine learning algorithms for currency exchange prediction]]
  * [[.books:dempster_2004_automated_fx_trading_system_using_arl:intro|Dempster - 2004 - Automated FX Trading System Using ARL]]
  * [[.books:moody_2001_learning_to_trade_via_direct_reinforcement:intro|Moody - 2001 - Learning to Trade via Direct Reinforcement]]
  * 2006 - Popoola - Testing the Suitability of Wavelet Preprocessing for TSK Fuzzy Models
  * 2015 - Jothimani - Discrete Wavelet Transform-Based Prediction of Stock Index A Study on National Stock Exchange Fifty Index
  * 2019 - Adam King - Creating Bitcoin trading bots that don’t lose money
  

  * **To read:** on Maximal  Overlap  Discrete  Wavelet Transform  (MODWT)  and  Empirical  Mode  Decomposition  (EMD):
    * Liu, Chen, Tian, Li, 2012: A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks.
    * Lahmiri, 2014: Wavelet low and high frequency components as features for predicting stock prices with backpropagation neural networks.
    * Ortega, L., & Khashanah, K., 2014:  A neuro-wavelet model for the short-term forecasting of high-frequency time series of stock returns.

===== Computer Science =====

  * [[.books:linux_shell_scripting_cookbook:shell_scripting|Shantanu Tushar - Linux Shell Scripting Cookbook, 2nd Edition]]
  * [[.books:rust_programming_language:intro|The Rust Programming Language]]

===== Android =====

  * [[.courses:android:android_programming_part1:android_programming|Programming Mobile Applications for Android, Part 1]]
  * [[.courses:android:android_programming_part2:android_programming_2|Programming Mobile Applications for Android, Part 2]]
  * [[.courses:android:android_programming_part3:android_programming_3|Programming Mobile Services for Android Handheld Systems: Concurrency]]

===== Physics =====

  * [[.courses:physics:from_big_bang_to_dark_energy:intro|From Big Bang to Dark Energy]]

===== Others =====

  * [[.courses:others:competitive_strategy:intro|Competitive Strategy]]
  * [[.courses:others:learning_how_to_learn:intro|Learning How to Learn]]
  * [[.courses:others:serious_game_design:serious_games|Serious Game Design and Development]]
  * [[.courses:others:build_app_with_mean:mean_intro|Build a real app with Node.js, Angular.js, MongoDB]]

===== General Notes =====

==== List of online universities ====

  * [[https://www.coursera.org/|Coursera]]
  * [[http://online.stanford.edu/courses|Standford]]