Ruiz Ernest (30 results)

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: New.

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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Condition: New. In English.

paperback. Condition: Good. Good condition paperback. Minor edgewear and corner rubbing. Pages are clean and unmarked. NO ACCESS CODES OR CDS. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.

Hardback. Condition: New. Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategies Generative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate patterns, and suggest complex trading strategies. Practically, this book explains how to utilize various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models to suggest new trading strategies, manage risks, optimize trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time. Written by Hamlet Medina, chief data scientist Criteo, and Ernie Chan, founder of QTS Capital Management and Predictnow.ai, this book explores topics including: How large language models and other machine learning techniques can improve productivity of algorithmic and discretionary traders from ideation, signal generations, backtesting, risk management, to portfolio optimizationThe pros and cons of tree-based models vs neural networks as they relate to financial applications. How regularization techniques can enhance out of sample performanceComprehensive exploration of the main families of explicit and implicit generative models for modeling high-dimensional data, including their advantages and limitations in model representation and training, sampling quality and speed, and representation learning.Techniques for combining and utilizing generative models to address data scarcity and enhance data augmentation for training ML models in financial applications like market simulations, sentiment analysis, risk management, and more.Application of generative AI models for processing fundamental data to develop trading signals.Exploration of efficient methods for deploying large models into production, highlighting techniques and strategies to enhance inference efficiency, such as model pruning, quantization, and knowledge distillation.Using existing LLMs to translate Federal Reserve Chair's speeches to text and generate trading signals. Generative AI for Trading and Asset Management earns a well-deserved spot on the bookshelves of all asset managers seeking to harness the ever-changing landscape of AI technologies to navigate financial markets.…

Hardback. Condition: New. Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategies Generative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate patterns, and suggest complex trading strategies. Practically, this book explains how to utilize various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models to suggest new trading strategies, manage risks, optimize trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time. Written by Hamlet Medina, chief data scientist Criteo, and Ernie Chan, founder of QTS Capital Management and Predictnow.ai, this book explores topics including: How large language models and other machine learning techniques can improve productivity of algorithmic and discretionary traders from ideation, signal generations, backtesting, risk management, to portfolio optimizationThe pros and cons of tree-based models vs neural networks as they relate to financial applications. How regularization techniques can enhance out of sample performanceComprehensive exploration of the main families of explicit and implicit generative models for modeling high-dimensional data, including their advantages and limitations in model representation and training, sampling quality and speed, and representation learning.Techniques for combining and utilizing generative models to address data scarcity and enhance data augmentation for training ML models in financial applications like market simulations, sentiment analysis, risk management, and more.Application of generative AI models for processing fundamental data to develop trading signals.Exploration of efficient methods for deploying large models into production, highlighting techniques and strategies to enhance inference efficiency, such as model pruning, quantization, and knowledge distillation.Using existing LLMs to translate Federal Reserve Chair's speeches to text and generate trading signals. Generative AI for Trading and Asset Management earns a well-deserved spot on the bookshelves of all asset managers seeking to harness the ever-changing landscape of AI technologies to navigate financial markets.…

Hardcover. Condition: Very good condition. dj. viii, 184 pp. Concilium: Theology in the Age of Renewal. Volume 019: Spirituality. Dustjacket. LCC: 6630386.

Original-Leinwand, mit Schutzumschlag, 8°, 184 Seiten. Priv. Namensstempel auf leerem Vorsatz, sonst schönes, sauberes Exemplar. Buch.

Condition: New. In English.

Condition: New. 1st edition NO-PA16APR2015-KAP.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Encuadernación de tapa blanda. Condition: Bien. C14573. McGraw Hill - 1185pp Rústica. K.

Encuadernación de tapa blanda. Condition: Bien. C14572. McGraw Hill - 585pp Rústica. K.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardback. Condition: New. Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategies Generative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate patterns, and suggest complex trading strategies. Practically, this book explains how to utilize various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models to suggest new trading strategies, manage risks, optimize trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time. Written by Hamlet Medina, chief data scientist Criteo, and Ernie Chan, founder of QTS Capital Management and Predictnow.ai, this book explores topics including: How large language models and other machine learning techniques can improve productivity of algorithmic and discretionary traders from ideation, signal generations, backtesting, risk management, to portfolio optimizationThe pros and cons of tree-based models vs neural networks as they relate to financial applications. How regularization techniques can enhance out of sample performanceComprehensive exploration of the main families of explicit and implicit generative models for modeling high-dimensional data, including their advantages and limitations in model representation and training, sampling quality and speed, and representation learning.Techniques for combining and utilizing generative models to address data scarcity and enhance data augmentation for training ML models in financial applications like market simulations, sentiment analysis, risk management, and more.Application of generative AI models for processing fundamental data to develop trading signals.Exploration of efficient methods for deploying large models into production, highlighting techniques and strategies to enhance inference efficiency, such as model pruning, quantization, and knowledge distillation.Using existing LLMs to translate Federal Reserve Chair's speeches to text and generate trading signals. Generative AI for Trading and Asset Management earns a well-deserved spot on the bookshelves of all asset managers seeking to harness the ever-changing landscape of AI technologies to navigate financial markets.…

Condition: Bueno. 17 x 24cm. 320. Editorial Ariel, España, Castellano, 17 x 24cm, 320pp. Castellano.

Condition: NEW.

Hardback. Condition: New. Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategies Generative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate patterns, and suggest complex trading strategies. Practically, this book explains how to utilize various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models to suggest new trading strategies, manage risks, optimize trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time. Written by Hamlet Medina, chief data scientist Criteo, and Ernie Chan, founder of QTS Capital Management and Predictnow.ai, this book explores topics including: How large language models and other machine learning techniques can improve productivity of algorithmic and discretionary traders from ideation, signal generations, backtesting, risk management, to portfolio optimizationThe pros and cons of tree-based models vs neural networks as they relate to financial applications. How regularization techniques can enhance out of sample performanceComprehensive exploration of the main families of explicit and implicit generative models for modeling high-dimensional data, including their advantages and limitations in model representation and training, sampling quality and speed, and representation learning.Techniques for combining and utilizing generative models to address data scarcity and enhance data augmentation for training ML models in financial applications like market simulations, sentiment analysis, risk management, and more.Application of generative AI models for processing fundamental data to develop trading signals.Exploration of efficient methods for deploying large models into production, highlighting techniques and strategies to enhance inference efficiency, such as model pruning, quantization, and knowledge distillation.Using existing LLMs to translate Federal Reserve Chair's speeches to text and generate trading signals. Generative AI for Trading and Asset Management earns a well-deserved spot on the bookshelves of all asset managers seeking to harness the ever-changing landscape of AI technologies to navigate financial markets.…

Paperback. Condition: New.

paperback. Condition: Acceptable. Acceptable. Dust Jacket NOT present. CD WILL BE MISSING. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condition: New.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It was written as Jesus said:The Father is the One who sent me. No one can come to me unless the Father draws him to me, and I will raise that person up on the last day. (John 6:44 NCV)The Lord isn't slow about keeping his promises, (salvation) as some people think He is. In fact, God is patient because He wants everyone to turn from sin and no one to be lost. (2 Peter 3:9 CEV)That is why it is important to pray to the Father to be drawn to Jesus, the salvation of our soul.…

Taschenbuch. Condition: Neu. Alpha-Omega | The History of Planet Earth, Angels, and The Human Race | Ernest Ruiz | Taschenbuch | Englisch | 2024 | Fulton Books | EAN 9798894272559 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …