Intel·ligència artificial

Advances in financial machine learning / Marcos López de Prado (2018)

Públic ISBD Títol : Advances in financial machine learning Tipus de document : text imprès Autors : Marcos López de Prado Editorial : Hoboken : John Wiley & Sons Data de publicació : 2018 Nombre de pàgines : 400 p. ll. : il., gràf. Dimensions : 24 cm ISBN/ISSN/DL : 978-1-11-948208-6 Idioma original : Anglès (eng) Matèries : Intel·ligència artificial Intel·ligència artificial Classificació : 00 Economia Resum : "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"-- "This book begins by structuring financial data in a way that is amenable to machine learning (ML) algorithms. Then, the author discusses how to conduct research with ML algorithms on that data and how to backtest your discoveries. Most of the problems and solutions are explained using math, supported by code. This makes the book very practical and hands-on. Readers become active users who can test the solutions proposed in their work. Readers will learn how to structure, label, weight, and backtest data. Machine learning is the future, and this book will equip investment professionals with the tools to utilize it moving forward"-- Nota de contingut : Includes index Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3 Advances in financial machine learning [text imprès] / Marcos López de Prado . - Hoboken : John Wiley & Sons, 2018 . - 400 p. : il., gràf. ; 24 cm. ISBN : 978-1-11-948208-6 Idioma original : Anglès (eng) Matèries : Intel·ligència artificial Intel·ligència artificial Classificació : 00 Economia Resum : "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"-- "This book begins by structuring financial data in a way that is amenable to machine learning (ML) algorithms. Then, the author discusses how to conduct research with ML algorithms on that data and how to backtest your discoveries. Most of the problems and solutions are explained using math, supported by code. This makes the book very practical and hands-on. Readers become active users who can test the solutions proposed in their work. Readers will learn how to structure, label, weight, and backtest data. Machine learning is the future, and this book will equip investment professionals with the tools to utilize it moving forward"-- Nota de contingut : Includes index Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3

Exemplars

Codi de barres	Signatura topogràfica	Tipus de document	Localització	Secció	Estat	Volum	Nota
10115987	00 LOP	Llibre	Biblioteca IEF Ramon Trias Fargas	Biblioteca	Disponible En préstec fins el 05/04/2019

Artificial intlligence and machine learning for business / Finley, Steven (2018)

Públic ISBD Títol : Artificial intlligence and machine learning for business : A No-nonsense guide to data driven technologies Tipus de document : text imprès Autors : Finley, Steven, Autor Menció d'edició : 3a ed. Editorial : Relativistic Data de publicació : 2018 Nombre de pàgines : 194 p. ll. : il. Dimensions : 22 cm ISBN/ISSN/DL : 978-1-999730-34-5 Idioma : Anglès (eng) Matèries : Intel·ligència artificial Classificació : 00 Economia Resum : Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original. Nota de contingut : Inclou notes, glossari i apèndix Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3 Artificial intlligence and machine learning for business : A No-nonsense guide to data driven technologies [text imprès] / Finley, Steven, Autor  . -  3a ed. . - United Kingdom : Relativistic, 2018 . - 194 p. : il. ; 22 cm. ISBN : 978-1-999730-34-5 Idioma : Anglès (eng) Matèries : Intel·ligència artificial Classificació : 00 Economia Resum : Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original. Nota de contingut : Inclou notes, glossari i apèndix Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3

Exemplars

Codi de barres	Signatura topogràfica	Tipus de document	Localització	Secció	Estat	Volum	Nota
10115985	00 FIN	Llibre	Biblioteca IEF Ramon Trias Fargas	Biblioteca	Disponible En préstec fins el 01/04/2019

Machine trading / Ernest P. Chan (2017)

Públic ISBD Títol : Machine trading : deploying computer algorithms to conquer the markets Tipus de document : text imprès Autors : Ernest P. Chan Editorial : Hoboken : John Wiley & Sons Data de publicació : 2017 Nombre de pàgines : xii, 250 pages ll. : il., gràf. Dimensions : 24 cm ISBN/ISSN/DL : 978-1-11-921960-6 Idioma : Anglès (eng) Matèries : Intel·ligència artificial Intel·ligència artificial Classificació : 00 Economia Resum : "Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions"-- Nota de contingut : Inclou bibliografia Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3 Machine trading : deploying computer algorithms to conquer the markets [text imprès] / Ernest P. Chan . - Hoboken : John Wiley & Sons, 2017 . - xii, 250 pages : il., gràf. ; 24 cm. ISBN : 978-1-11-921960-6 Idioma : Anglès (eng) Matèries : Intel·ligència artificial Intel·ligència artificial Classificació : 00 Economia Resum : "Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you'll learn to design your own proprietary tools using MATLAB. The author's experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level. Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools. Utilize the newer, easier algorithmic trading platforms Access markets previously unavailable to systematic traders Adopt new strategies for a variety of instruments Gain expert perspective into the human side of trading The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions"-- Nota de contingut : Inclou bibliografia Permalink : https://bibliotecatriasfargas.cat/pmb/opac_css/index.php?lvl=notice_display&id=3

Exemplars

Codi de barres	Signatura topogràfica	Tipus de document	Localització	Secció	Estat	Volum	Nota
10115988	00 CHA	Llibre	Biblioteca IEF Ramon Trias Fargas	Biblioteca	Disponible Disponible