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Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # wbs6502666188
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Machine Learning for Asset Managers 0.47. Book. Seller Inventory # BBS-9781108792899
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: California Books, Miami, FL, U.S.A.
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Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to learn complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108792899
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 75 pages. 9.00x6.00x0.25 inches. In Stock. This item is printed on demand. Seller Inventory # __1108792898
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Seller: Russell Books, Victoria, BC, Canada
Softcover. Condition: New. Special order direct from the distributor. Seller Inventory # ING9781108792899
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781108792899_new
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