Abdullah Karasan - Machine Learning for Financial Risk Management with Python_ Algorithms for Modeling Risk-O'Reilly Media (2022).pdf


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Learning Ray.
Flexible Distributed Python for Machine Learning. 2023
Max Pumperla,
Edward Oakes & Richard Liaw Foreword by Ion Stoica

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Machine Learning types

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Machine Learning & Data Science from Caltech

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

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MIT machine learning course.  Duration: 13 weeks.
Published: December 2020.
Type: open-source.
https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow [source code]


Author(s): Sebastian Raschka, Vahid Mirjalili

Publisher: Packt,

Year: 2017

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