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If you are interested in learning how the computer algorithm works to make intelligent machines solve different problems, this book will help you understand everything about using Algorithms, in machine learning and Artificial intelligence. The book provides the best knowledge about the algorithms for both beginners and experienced tech professionals.
All the information and the knowledge included in this book is divided into 11 different chapters, each chapter discusses different aspects and functioning of the algorithms. The introduction part explains all the fundamentals in very simple plain language for the beginners and then it started to make the transition from basics to advance level step by step. All the 11 chapters of this book, Algorithms To Lie By are listed below:.
Get this Pdf eBook for free on your devices, if you are interested in learning about computer algorithms in details that how it works to make solve our daily life problems. It is one of the best books for the students of computer science, machine learning , and Artificial Intelligence.
Download PDF. Save my name, email, and website in this browser for the next time I comment. Terms and Conditions. Zhang J, Adomavicius G, Gupta A, Ketter W Consumption and performance: understanding longitudinal dynamics of recommender systems via an agent-based simulation framework. Unkel J, Haas A The effects of credibility cues on the selection of search engine results. J Am Soc Inf Sci — Appl Intell — Association for Computing Machinery, New York, pp — Nelson P Information and consumer behavior.
J Polit Econ — Decis Support Syst — Herrmann JW Engineering decision making and risk management. Wiley, Hoboken. Pei S, Hu Q Partially monotonic decision trees. Inf Sci — Sagi O, Rokach L Explainable decision forest: transforming a decision forest into an interpretable tree. Inf Fusion — Rokach L Decision forest: twenty years of research.
Schulz F Trees with exponentially growing costs. Inf Comput — Gao R, Shah C Toward creating a fairer ranking in search engine results. Inf Process Manag J Comput Mediated Commun — Inf Comput Download references. You can also search for this author in PubMed Google Scholar. Correspondence to Madjid Tavana. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Reprints and Permissions. Di Caprio, D. A new algorithm for modeling online search behavior and studying ranking reliability variations. Appl Intell Download citation. Accepted : 16 September Published : 30 September Anyone you share the following link with will be able to read this content:. Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative. Skip to main content. Search SpringerLink Search. Abstract We design an information retrieval algorithm that mimics the stochastic behavior of decision-makers DMs when evaluating the alternatives displayed by an online search engine.
References 1. Inf Manag — Article Google Scholar 4. Accessed 23 Sep 8. Springer, Berlin, pp 7—22 9. European Union Decis Anal —30 Article Google Scholar Inf Manag — Article Google Scholar Appl Intell — Article Google Scholar Association for Computing Machinery, New York, pp — Inf Fusion — Article Google Scholar
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