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Books: Machine Learning

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This category is curated by: Kris Longmore of Robot Wealth

Kris is a former engineer and hedge fund quant. He founded Quantify Partners and Robot Wealth, both of which facilitate the pursuit of his obsession with machine learning and algorithmic trading.

Applied Predictive Modeling
Applied Predictive Modeling
The Elements of Statistical Learning
The Elements of Statistical Learning
Machine Learning with R
Machine Learning with R
An Introduction to Statistical Learning with Applications in R
An Introduction to Statistical Learning with Applications in R
Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments
Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments
Python Machine Learning
Python Machine Learning
Python Machine Learning Blueprints
Python Machine Learning Blueprints
Data Science from Scratch: First Principles with Python
Data Science from Scratch: First Principles with Python
Fundamentals of Machine Learning for Predictive Data Analytics
Fundamentals of Machine Learning for Predictive Data Analytics
Financial Signal Processing and Machine Learning
Financial Signal Processing and Machine Learning
Natural Language Processing with Python
Natural Language Processing with Python
Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Machine Learning In Computational Finance: Practical algorithms for building artificial intelligence applications
Deep Learning (Direct Link)
Deep Learning (Direct Link)
Probabilistic Graphical Models
Probabilistic Graphical Models

 

Books curated by the best:

These books are curated by the top rated authors in our community:

  • Investment Idiocy (Rob Carver)
  • Quant Start (Michael Halls-Moore)
  • QuantStrat TradeR (Ilya Kipnis)
  • Robot Wealth (Kris Longmore)

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