
Advances in Financial Machine Learning
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3 months free
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Narrated by:
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Steven Jay Cohen
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations.
Listeners will learn how to structure big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. Listeners become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2018 John Wiley & Sons, Inc. (P)2018 Gildan MediaListeners also enjoyed...




















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PDF Attachment is available on website / my library
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Useful book, bad audiobook.
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However, the formulas are spoken very robotically. e.g. p_(i,j) would be said as p sub i sub j, so 'sub' appears way more than needed and makes it very hard to follow along for the math. I get it's hard to have math in an audiobook, but it could have been done better. The narrator also randomly switches to whispering once in a while, which is strange. (the narration is also a bit slow, 1.5x speed worked well for me)
Regarding the content I only have some small issues, the intro is a bit elitist, claiming you need to know a bunch of specific frameworks, APIs, languages, and even hardware vendors, while most of these are barely even mentioned throughout the rest of the book.
The last chapter about HPC could have been left out. It feels like a grant application for HPC funds were copy pasted in.
Good book, poor narration
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really intense book. loved it
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It introduces some great topics that can later be reviewed online.
As long as you know what you're getting into (basically, someone reading you a book heavy with math/comp sci concepts) its great!
"Not good in audio book format" critique
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Not recommended for audio
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I did enjoy many parts in audio, but the formulas go to be too much, the 218 page companion PDF should have been I clue.
Please pull this book from Audible, and replace it with better suited content, the information is too valuable to loose in a fuzz i sub t sub j.
This is an extremely important book
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Great book, but limited by audio media
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Get the Kindle or hardcopy version
Good Deep Content, So, Get The Hard Copy
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I rate the performance high as I think the reading was well done, and the story is "great" yet impossible to follow without the additional material. I think I wasted a credit on this audio-book and readers should be prepared to sit down with the additional material or rather not attempt this book in audio-book format.
Beware - not suited to audio-book format.
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