XGBoost

https://machinelearningmastery.com/develop-first-xgboost-model-python-scikit-learn/

XGBoost Api

https://xgboost.readthedocs.io/en/latest/python/python_api.html

https://xgboost.readthedocs.io/en/latest/build.html

Setup Python

https://github.com/dmlc/xgboost/tree/master/python-package

Read file Python Visual Studio

https://stackoverflow.com/questions/53799070/how-can-i-read-a-file-as-relative-path-in-python-with-visual-studio-code

Install Tensorflow 2.0.0

Python 3.6.8
TensorFlow 2.0.0
Keras 2.3.1

TensorFlow Install

https://www.youtube.com/watch?v=59duINoc8GM

R2, RSS, TSS, ESS

http://www.machinelearning.ru/wiki/index.php?title=%D0%9A%D0%BE%D1%8D%D1%84%D1%84%D0%B8%D1%86%D0%B8%D0%B5%D0%BD%D1%82_%D0%B4%D0%B5%D1%82%D0%B5%D1%80%D0%BC%D0%B8%D0%BD%D0%B0%D1%86%D0%B8%D0%B8

ОБ УСКОРЕНИИ ИСТОРИЧЕСКОГО ВРЕМЕНИ

http://vivovoco.astronet.ru/VV/JOURNAL/NEWHIST/KAPTIME.HTM

https://smart-lab.ru/blog/553246.php

https://www.koob.ru/prigojin/

Q-Learning Python Example

https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW

Modern Forecasting

https://forecasting.svetunkov.ru/

https://forecasting.svetunkov.ru/forecasting_toolbox/models_quality/

https://smart-lab.ru/blog/547833.php

https://smart-lab.ru/blog/262915.php

https://smart-lab.ru/blog/286881.php

Deep Learning in Finance

https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03

Portfolio Optimization

https://medium.com/python-data/effient-frontier-in-python-34b0c3043314

https://medium.com/python-data/efficient-frontier-portfolio-optimization-with-python-part-2-2-2fe23413ad94

https://medium.com/the-trading-scientist/portfolio-optimization-in-r-using-a-genetic-algorithm-8726ec985b6f

Data Science Digest (April 2019)

https://habr.com/ru/post/448308/

ML.NET, new issue 1.0 RC (Release Candidate)

https://habr.com/ru/company/microsoft/blog/447414/

Best Python Libraries for FInance

https://financetrain.com/best-python-librariespackages-finance-financial-data-scientists/

Not only Python

https://hackernoon.com/9-great-tools-for-algo-trading-e0938a6856cd

Usefull functions

scipy

stats.normaltest(x)
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.normaltest.html

Machine Learning, C# Implementation

Backpropagation

https://habr.com/ru/post/154369/

Principal Components Analysis, PCA

https://habr.com/ru/post/146236/

Joel Grus, Data Science. Наука о данных с нуля, Books

Data Science. Наука о данных с нуля, Joel Grus

Joel Grus - Data Science From Scratch - First Principles with Python - 2015

https://www.litres.ru/dzhoel-gras-17430415/data-science-nauka-o-dannyh-s-nulya-39286388/

https://github.com/joelgrus/data-science-from-scratch

Bayesian Methods

https://www.youtube.com/watch?v=cfGLj3JdxXI

https://www.youtube.com/watch?v=kFe5zSkro0E

https://www.youtube.com/watch?v=Ejsr3S79gcQ

https://www.youtube.com/watch?v=xaPIlAAyFvY

https://www.youtube.com/watch?v=QuDDPviPEb4

https://www.youtube.com/watch?v=Q65APl9MFTs

Probabilistic Programming, Python, PyMC3

https://github.com/pymc-devs/pymc3

https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Chapter 2
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/tree/master/Chapter2_MorePyMC

Probabilistic Programming, Books

https://www.litres.ru/a-pfeffer/veroyatnostnoe-programmirovanie-na-praktike-22806664/

Machine Learning, Books

https://www.litres.ru/peter-flah/mashinnoe-obuchenie-nauka-i-iskusstvo-postroeniya-algoritmov-kotorye-izvlekaut-znaniya-iz-dannyh-22678129/

https://www.litres.ru/pedro-domingos/verhovnyy-algoritm-kak-mashinnoe-obuchenie-izmenit-nash-mir/

https://www.litres.ru/villi-richart/postroenie-sistem-mashinnogo-obucheniya-na-yazyke-python-22873803/

Python, Q Learning, Books

https://www.litres.ru/richard-s-satton/obuchenie-s-podkrepleniem-6651379/

https://www.litres.ru/aleksandr-tulupev/samoobuchauschiesya-sistemy-11647871/

https://www.litres.ru/lewis-frank-l/reinforcement-learning-and-approximate-dynamic-prog-33815398/

https://www.litres.ru/parag-kulkarni-2/reinforcement-and-systemic-machine-learning-for-31237233/

https://www.litres.ru/anthonie-wurth/training-reinforcement-the-7-principles-to-create-39840080/

https://www.litres.ru/h-schwartz-m/multi-agent-machine-learning-a-reinforcement-approac-34401471/

https://www.litres.ru/alan-johnson-1529274/recommendations-for-design-and-analysis-of-e-33814070/

https://www.litres.ru/aaron-kurvill/glubokoe-obuchenie-28259806/

https://www.litres.ru/a-kadurin-13464223/glubokoe-obuchenie-pogruzhenie-v-mir-neyronnyh-29817855/

Python, Deep Learning, Books

https://www.litres.ru/fransua-sholle-17338303/glubokoe-obuchenie-na-python-39113884/?utm_campaign=Retargeting&utm_medium=LowerFunnel&utm_source=Criteo

https://www.litres.ru/aaron-kurvill/glubokoe-obuchenie-28259806/

https://www.litres.ru/a-kadurin-13464223/glubokoe-obuchenie-pogruzhenie-v-mir-neyronnyh-29817855/

https://www.litres.ru/aleksandr-tulupev/samoobuchauschiesya-sistemy-11647871/

Python, Data Science, Machine Learning

https://www.litres.ru/dzhoel-gras-17430415/data-science-nauka-o-dannyh-s-nulya-39286388/

https://www.litres.ru/ues-makkinni-10688670/python-i-analiz-dannyh-22805830/

https://www.litres.ru/john-mueller-paul/python-for-data-science-for-dummies-28313007/

https://www.litres.ru/jake-porway/data-science-for-dummies-28281273/

https://www.litres.ru/dzh-vander-plas/python-dlya-slozhnyh-zadach-nauka-o-dannyh-i-mashinnoe-obuchenie-27612904/

Python, BestSellers

https://www.litres.ru/zed-shou/legkiy-sposob-vyuchit-python-25206565/

https://www.litres.ru/pol-berri/izuchaem-programmirovanie-na-python-25562287/

XGBoost

https://www.youtube.com/watch?v=CCDIbNGGBwY&list=PLlb7e2G7aSpT1ntsozWmWJ4kGUsUs141Y&index=7

https://compscicenter.ru/courses/data-mining-python2/2018-autumn/classes/4238/

CNN in Brief

Copy from https://www.asozykin.ru/courses/nnpython

CNN, ConvNet

https://ru.wikipedia.org/wiki/%D0%A1%D0%B2%D1%91%D1%80%D1%82%D0%BE%D1%87%D0%BD%D0%B0%D1%8F_%D0%BD%D0%B5%D0%B9%D1%80%D0%BE%D0%BD%D0%BD%D0%B0%D1%8F_%D1%81%D0%B5%D1%82%D1%8C

https://en.wikipedia.org/wiki/Convolutional_neural_network

GBM - Градиентный бустинг

https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-10-gradient-boosting-c751538131ac

https://habr.com/ru/company/ods/blog/327250/

https://www.youtube.com/watch?v=vXDmq5i77F4&feature=youtu.be&list=PLJOzdkh8T5kpGiIQttuMwo3jLciewjd7R

https://www.youtube.com/watch?v=CCDIbNGGBwY

Прогнозирование временных рядов

https://www.youtube.com/watch?v=u433nrxdf5k

https://github.com/vkantor/MIPT_Data_Mining_In_Action_2016

Deep Q-Learning

https://towardsdatascience.com/self-learning-ai-agents-part-ii-deep-q-learning-b5ac60c3f47

Machine Learning Libraries

https://www.youtube.com/watch?v=Zn2Gotkd_rY

https://www.youtube.com/watch?v=Ojgg98lAsw0