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implementing machine learning finance (27 risultati)
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Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios (Paperback or Softback)
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Paperback or Softback. Condizione: New. Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios. Book.
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Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: California Books, Miami, FL, U.S.A.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
ISBN 10: 1484279093 ISBN 13: 9781484279090
Da: Majestic Books, Hounslow, Regno Unito
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
ISBN 10: 1484279093 ISBN 13: 9781484279090
Da: Books Puddle, New York, NY, U.S.A.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
ISBN 10: 1484279093 ISBN 13: 9781484279090
Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Prima edizione
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Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 44,04
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Revaluation Books, Exeter, Regno Unito
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EUR 53,01
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Aggiungi al carrelloPaperback. Condizione: Brand New. 200 pages. 9.25x6.10x0.46 inches. In Stock.
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Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 48,78
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 54,51
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Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Chiron Media, Wallingford, Regno Unito
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
Da: Kennys Bookstore, Olney, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. 2021. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
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Edizione InternazionaleImplementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios
ISBN 10: 1484279093 ISBN 13: 9781484279090
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Condizione: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios Paperback ? September 29, 2021
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New.
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EUR 54,80
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Implementing Machine Learning for Finance | A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios | Tshepo Chris Nokeri | Taschenbuch | xviii | Englisch | 2021 | Apress | EAN 9781484271094 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Implementing Machine Learning for Finance (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 3 su 5 stelle
EUR 46,56
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Implementing Machine Learning for Finance
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 58,84
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures.The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios.By the end of this book, you should be able to explain how algorithmic trading works and its practical application in the real world, and know how to apply supervised and unsupervised ML and DL models to bolster investment decision making and implement and optimize investment strategies and systems.What You Will LearnUnderstand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio managementKnow the concepts of feature engineering, data visualization, and hyperparameter optimizationDesign, build, and test supervised and unsupervised ML and DL modelsDiscover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and pricesStructure and optimize an investment portfolio with preeminent asset classes and measure the underlying riskWho This Book Is ForBeginning and intermediate data scientists, machine learning engineers, business executives, and finance professionals (such as investment analysts and traders) 200 pp. Englisch.
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios Paperback ? September 29, 2021
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 86,53
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Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios Paperback ? September 29, 2021
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 87,07
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Spedito da Germania a U.S.A.Quantità: 4 disponibili
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EUR 48,37
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Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginning-Intermediate user level|Bridges the gap between finance and data science by presenting a systematic method for structuring, analyzing, and optimizing an investment portfolio and its underlying asset classesCovers.
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Implementing Machine Learning for Finance
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 58,84
Spedizione EUR 60,00
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.
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EUR 59,55
Spedizione EUR 61,56
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures.The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios.By the end of this book, you should be able to explain how algorithmic trading works and its practical application in the real world, and know how to apply supervised and unsupervised ML and DL models to bolster investment decision making and implement and optimize investment strategies and systems.What You Will LearnUnderstand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio managementKnow the concepts of feature engineering, data visualization, and hyperparameter optimizationDesign, build, and test supervised and unsupervised ML and DL modelsDiscover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and pricesStructure and optimize an investment portfolio with preeminent asset classes and measure the underlying riskWho This Book Is ForBeginning and intermediate data scientists, machine learning engineers, business executives, and finance professionals (such as investment analysts and traders).
