Machine Learning in Finance
From Theory to Practice
by Matthew F. Dixon, Igor Halperin, Paul Bilokon
Should I read this?
appears in Machine Learning.
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for finan...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
appears in Machine Learning.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
No verified recommendation proof available yet.
Appears In
Not sure if this is the right fit?
Consider Life 3.0 by Max Tegmark. Recommended by 18 sources.
“Life 3.0 reads like a long, wide-ranging conversation with a physicist who loves big if-then thought experiments. The useful part is its panoramic sweep across possible AI futures—from job automation to cosmic colonization—forcing you to consider timelines you might otherwise avoid. The limitation is that the speculative breadth often outruns the depth; chapters can feel meandering, and some readers will find the cosmic-scale scenarios too detached from practical concerns, making it hard to ground in real urgency.”
Similar books
Life 3.0
Max Tegmark
Deep Learning
Ian Goodfellow
Data Science for Business
Foster Provost
Generative Deep Learning
David Foster
Forecasting
Rob Hyndman, George Athanasopoulos
Artificial Intelligence, and Machine Learning for Business
Steven Finlay
Fundamentals of Machine Learning for Predictive Data Analytics
John D. Kelleher
HandsOn Machine Learning with ScikitLearn, Keras, and TensorFlow
Aurélien GéronHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
Machine Learning in Finance
View on Amazon →