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61
What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data.
Published 2017Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
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62
Automating open source intelligence : algorithms for OSINT
Published 2016Table of Contents: “…Cover; Title Page ; Copyright Page; Contents; List of Contributors; Chapter 1 -- The Automating of Open Source Intelligence; The Commercial Angle; Algorithms; References; Chapter 2 -- Named Entity Resolution in Social Media; Introduction; Evaluating Semantic Processing Performance; Characterizing Semantic Processing Errors; Meaning Loss in Biblical Proverbs: A Case Study; Models for Improving Semantic Processing Performance; Discussion; References; Chapter 3 -- Relative Cyberattack Attribution; Introduction; Basic Attack Structure; Anonymization on the Internet; Weaknesses in Anonymization.…”
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A guide to creating a successful algorithmic trading strategy
Published 2016Full text (MFA users only)
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Bayesian phylogenetics : methods, algorithms, and applications
Published 2014Table of Contents: “…Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies.…”
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Testing the transparency benefits of inflation targeting : evidence from private sector forecasts
Published 2006Full text (MFA users only)
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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x
Published 2017Full text (MFA users only)
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68
Cryptography Apocalypse : Preparing for the Day When Quantum Computing Breaks Today's Crypto.
Published 2019Table of Contents: “…59 -- Cryptography Basics 59 -- Encryption 59 -- Integrity Hashing 72 -- Cryptographic Uses 73 -- How Quantum Computers Can Break Cryptography 74 -- Cutting Time 74 -- Quantum Algorithms 76 -- What Quantum Can and Can’t Break 79 -- Still Theoretical 82 -- Summary 83 -- 4 When Will the Quantum Crypto Break Happen? …”
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Turing's vision : the birth of computer science
Published 2016Full text (MFA users only)
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Formulas in inverse and ill-posed problems
Published 1997Full text (MFA users only)
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73
Language production and interpretation : linguistics meets cognition
Published 2014Table of Contents: “…Provisional English; 2.3. The Production Algorithm; 2.3.1. Procedural Interpretation of the Constraints; 2.4. …”
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Heuristics in analytics : a practical perspective of what influences our analytical world
Published 2014Full text (MFA users only)
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Intelligence emerging : adaptivity and search in evolving neural systems
Published 2015Full text (MFA users only)
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Foundations of Probabilistic Logic Programming : Languages, Semantics, Inference and Learning.
Published 2018Full text (MFA users only)
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Evaluation and management for infectious diseases and dermatologic disorders
Published 2017Full text (MFA users only)
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