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Advances in Financial Machine Learning

Lu par : Steven Jay Cohen
Durée : 12 h et 58 min

9,95 € / mois après 30 jours. Résiliable à tout moment.

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Description

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 Media

Ce que les auditeurs disent de Advances in Financial Machine Learning

Notations

Il n'y a pas encore de critique disponible pour ce titre.
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  • Global
    3 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    2 out of 5 stars
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  • Theo
  • 10/07/2018

Beware - not suited to audio-book format.

I think this is a brilliant book, but the constant references to the "bonus PDF", diagrams, separate publications, graphs etc. make this an extremely difficult book to follow as an audio-book. In fact, i would go so far as to say that it is impossible to consume this book in audio-book format. 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.

23 personnes ont trouvé cela utile

  • Global
    1 out of 5 stars
  • Interprétation
    1 out of 5 stars
  • Histoire
    1 out of 5 stars
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  • refael
  • 12/10/2018

not suit for an audiobook

The book contains math equations which make it not fit to be an audiobook. Now I'm reading this book with actual paper and enjoying it.

9 personnes ont trouvé cela utile

  • Global
    3 out of 5 stars
  • Interprétation
    3 out of 5 stars
  • Histoire
    3 out of 5 stars
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  • JP
  • 23/09/2018

PDF Attachment is available on website / my library

If you’re on iPhone / You need to login to audible.com click Full Site at the bottom. Then go to my library / other actions / view PDF.

7 personnes ont trouvé cela utile

  • Global
    3 out of 5 stars
  • Interprétation
    3 out of 5 stars
  • Histoire
    3 out of 5 stars
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  • balataps
  • 26/11/2018

Good Deep Content, So, Get The Hard Copy

Insightful content hence not so easy to follow in the audio format. PDF attachment helps but still lacks the ability to follow along effectively Get the Kindle or hardcopy version

2 personnes ont trouvé cela utile

  • Global
    3 out of 5 stars
  • Interprétation
    2 out of 5 stars
  • Histoire
    3 out of 5 stars
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  • A Reader
  • 12/09/2018

Equations are read to you

For ML experts, difficult to grasp the core nuances of financial applications. For financial folks with not much of ML background, probably difficult to follow. For practitioners who are in the business, probably a very good reference book to look into. But definitely not a good listening.

2 personnes ont trouvé cela utile

  • Global
    4 out of 5 stars
  • Interprétation
    2 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • Review 1
  • 19/09/2018

This is an extremely important book

But it does not suit itself to the Audio format, I am returning and and getting the kindle or paper edition. 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.

1 personne a trouvé cela utile

  • Global
    5 out of 5 stars
  • Interprétation
    2 out of 5 stars
  • Histoire
    4 out of 5 stars
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  • Uki Dominque Lucas
  • 13/09/2020

Useful book, bad audiobook.

This is an important book, but should have been rewritten for audio. several hours of math formulas does not make for good listening.

  • Global
    5 out of 5 stars
  • Interprétation
    4 out of 5 stars
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    4 out of 5 stars
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  • Robert Carroll
  • 10/04/2020

"Not good in audio book format" critique

I saw many reviews were pointing to this being not a great book, in audio format. I could agree that might not be some people's preference. However, this is perfect for me as I love audio-books and this is one of the only math/comp sci heavy books that actually *is* in audio-book format. 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!

  • Global
    4 out of 5 stars
  • Interprétation
    5 out of 5 stars
  • Histoire
    3 out of 5 stars
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  • Kedar Waghmode
  • 18/11/2019

This book is great but dont buy audio book

This book has great content and lot to learn from. However audio version is useless, Not fault of narrater, he has done good job. I stopped audio book as I wasn't able to understand narrated formulae or python code. Work through this book.

  • Global
    5 out of 5 stars
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  • randy chaloupka
  • 01/07/2019

really intense book. loved it

I'm a computer science person whose been a stock market weekend warrior. this book was great on multiple levels. lots of great stock market info as well as great math and machine learning.

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  • Global
    4 out of 5 stars
  • Interprétation
    1 out of 5 stars
  • Histoire
    4 out of 5 stars
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  • Brughelli Moreno
  • 11/12/2019

Good book but almost impossible to listen

Overall it is a very good book, the big downside is how formulas are read, it seems an automatic ML method that reads that.