Advances in Financial Machine Learning [Audiobook] download free by Marcos Lopez De Prado
- Listen audiobook: Advances in Financial Machine Learning
- Author: Marcos Lopez De Prado
- Release date: 2018/5/28
- Publisher: JOHN WILEY & SONS INC
- Language: English
- Genre or Collection: Business, Finance and Law
- ISBN: 9781119482086
- Rating: 8.62 of 10
- Votes: 866
- Review by: Yoshiko Conaway
- Review rating: 8.3 of 10
- Review Date: 2018/11/4
- Duration: 5H6M23S in 256 kbps (80 MB)
- Date of creation of the audiobook: 2018-08-14
- You can listen to this audiobook in formats: MP3, AAC, MPEG4, FLAC, WMA, WAV, MPEG-4 DST, AIFF (compression ISO, RAR, ZIP, RZ)
- Total pages original book: 400
- Includes a PDF summary of 32 pages
- Duration of the summary (audio): 24M1S (6.4 MB)
- Description or summary of the audiobook: 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. Readers 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. Readers 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.
- Other categories, genre or collection: Investment & Securities, Finance, Machine Learning, Computer Science
- Download servers: Microsoft OneDrive, Torrent, FileServe, Dropbox, vBoxxCloud, Load.to, Mediafire, Hotfile. Compressed in ISO, RAR, ZIP, RZ
- Format: Hardback
- Approximate value: 38.21 USD
- Dimensions: 159x234x34mm
- Weight: 704g
- Printed by: Not Available
- Published in: New York, United States
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