ISBN: 9781098148393 - deep learning for finance: creating machine & deep learning models for trading in python (13 Ergebnisse)

Paperback. Zustand: Good. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Zustand: New.

Zustand: New. In English.

Zustand: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 350 pages. 9.19x7.00x0.75 inches. In Stock.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware - Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. - Understand and create machine learning and deep learning models - Explore the details behind reinforcement learning and see how it's used in time series - Understand how to interpret performance evaluation metrics - Examine technical analysis and learn how it works in financial markets - Create technical indicators in Python and combine them with ML models for optimization - Evaluate the models' profitability and predictability to understand their limitations and potential.…

Taschenbuch. Zustand: Neu. Deep Learning for Finance | Creating Machine & Deep Learning Models for Trading in Python | Sofien Kaabar | Taschenbuch | Englisch | 2024 | O'Reilly Media | EAN 9781098148393 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Neuware -Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. - Understand and create machine learning and deep learning models - Explore the details behind reinforcement learning and see how it's used in time series - Understand how to interpret performance evaluation metrics - Examine technical analysis and learn how it works in financial markets - Create technical indicators in Python and combine them with ML models for optimization - Evaluate the models' profitability and predictability to understand their limitations and potentialLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.…

Taschenbuch. Zustand: Neu. Neuware -Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. - Understand and create machine learning and deep learning models - Explore the details behind reinforcement learning and see how it's used in time series - Understand how to interpret performance evaluation metrics - Examine technical analysis and learn how it works in financial markets - Create technical indicators in Python and combine them with ML models for optimization - Evaluate the models' profitability and predictability to understand their limitations and potential Englisch.…