Zihao (161 results)

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: New.

Trade Paperback. Condition: Very Good (+).

Condition: As New. Unread book in perfect condition.

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Paperback or Softback. Condition: New. Deep Learning in Quantitative Trading. Book.

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condition: New. This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the fundamentals of financial time-series and supervised learning, exploring various network architectures, from feedforward to state-of-the-art. To ensure robustness and mitigate overfitting on complex real-world data, a complete workflow is presented, from initial data analysis to cross-validation techniques tailored to financial data. Building on this, the second part applies deep learning methods to a range of financial tasks. The authors demonstrate how deep learning models can enhance both time-series and cross-sectional momentum trading strategies, generate predictive signals, and be formulated as an end-to-end framework for portfolio optimization. Applications include a mixture of data from daily data to high-frequency microstructure data for a variety of asset classes. Throughout, they include illustrative code examples and provide a dedicated GitHub repository with detailed implementations. …

Paperback. Condition: New. This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the fundamentals of financial time-series and supervised learning, exploring various network architectures, from feedforward to state-of-the-art. To ensure robustness and mitigate overfitting on complex real-world data, a complete workflow is presented, from initial data analysis to cross-validation techniques tailored to financial data. Building on this, the second part applies deep learning methods to a range of financial tasks. The authors demonstrate how deep learning models can enhance both time-series and cross-sectional momentum trading strategies, generate predictive signals, and be formulated as an end-to-end framework for portfolio optimization. Applications include a mixture of data from daily data to high-frequency microstructure data for a variety of asset classes. Throughout, they include illustrative code examples and provide a dedicated GitHub repository with detailed implementations. …

Condition: As New. Unread book in perfect condition.

paperback. Condition: Very Good. In stock ready to dispatch from the UK.

Condition: New. Xu, Lily (illustrator).

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition. Xu, Lily (illustrator).

Condition: New.

Condition: Good. Has some wear and creases. Has a remainder mark. hardcover Used - Good 2025.

Condition: New.

Paperback. Condition: New. In its history of over a hundred of years, landscape architecture has developed many ideas, concepts, methods, and models. In this issue, LA Frontiers focuses on prototype studies by examining those traceable and repeatable landscape theories, methodologies, and pedagogies, and introducing the knowledge from allied disciplines to inspire knowledge innovation, with a particular highlight on the prototypes adaptive to future uncertainties. It hopes to extend the disciplinary horizon and enrich the fruition of disciplinary growth, and to provide designers and scholars with prospective design thoughts and more resilient working methods.This issue explores the following aspects: First, prototyping process, or test planning process, which is characterised for the test-planning-design process and has been widely applied in the fields of computer sciences and industrial design but still being less explored in landscape architecture. This process emphasises the multi-disciplinary collaboration and test procedure before design, which would improve the communication efficiency among professionals from different fields. Second, reflection and innovation on classic theories and models in landscape planning and design, such as Ian McHarg's Map Overlay and Carl Steinitz's Six Steps model. Third, research-based design, including design research or competitions with clear goals and boundary conditions which help designers comprehend the essence and implications of design and encourage disciplinary innovation. And fourth, inductive and empirical pedagogies to inspire forward-looking design ideas and working methods.…

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Condition: New.

Condition: New.

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

Paperback. Condition: Brand New. 75 pages. 6.00x0.39x9.00 inches. In Stock.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New. 2025. paperback. . . . . .

Condition: New.