Articoli correlati a Artificial Intelligence in Finance: A Python-Based...
Sinossi
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.
Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.
In five parts, this guide helps you:
- Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)
- Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice
- Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets
- Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies
- Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http://cqf.com), on data science at htw saar University of Applied Sciences (http://htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra usato
Condizioni: molto buonoGut/Very good: Buch bzw. Schutzumschlag...
Visualizza questo articolo
EUR 48,65
EUR 4,50 per la spedizione da Germania a Italia
Destinazione, tempi e costiCompra nuovo
Visualizza questo articolo
EUR 61,14
EUR 0,54 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costi
Risultati della ricerca per Artificial Intelligence in Finance: A Python-Based...
Foto dell'editore
Artificial Intelligence in Finance: A Python-Based Guide
Da: medimops, Berlin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Codice articolo M01492055433-V
Quantità: 1 disponibili
Foto dell'editore
Artificial Intelligence in Finance
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781492055433
Quantità: 8 disponibili
Foto dell'editore
Artificial Intelligence in Finance
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo WO-9781492055433
Quantità: 8 disponibili
Foto dell'editore
ARTIFICIAL INTELLIGENCE IN FINANCE
Da: Speedyhen, London, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: NEW. Codice articolo NW9781492055433
Quantità: 2 disponibili
Foto dell'editore
Artificial Intelligence in Finance: A Python-Based Guide
Da: SecondSale, Montgomery, IL, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00078631894
Quantità: 8 disponibili
Immagini fornite dal venditore
Artificial Intelligence in Finance: A Python-Based Guide (Paperback or Softback)
Editore:
O'Reilly Media 11/3/2020, 2020
ISBN 10: 1492055433
ISBN 13: 9781492055433
Nuovo
Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Artificial Intelligence in Finance: A Python-Based Guide 1.66. Book. Codice articolo BBS-9781492055433
Quantità: 5 disponibili
Immagini fornite dal venditore
Artificial Intelligence in Finance
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.In five parts, this guide helps you:Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practiceApply neural networks and reinforcement learning to discover statistical inefficiencies in financial marketsIdentify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategiesUnderstand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about. Codice articolo LU-9781492055433
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Artificial Intelligence in Finance : A Python-Based Guide
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo 41173746-n
Quantità: 1 disponibili
Foto dell'editore
Artificial Intelligence in Finance: A Python-Based Guide
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9781492055433
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Artificial Intelligence in Finance
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.In five parts, this guide helps you:Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practiceApply neural networks and reinforcement learning to discover statistical inefficiencies in financial marketsIdentify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategiesUnderstand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about. Codice articolo LU-9781492055433
Quantità: Più di 20 disponibili