Search Results - (((((((ant OR semantic) OR stantis) OR hands) OR cantor) OR anne) OR file) OR granting) algorithms.

Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras by Kyriakides, George, Margaritis, Konstantinos G.

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Hands-On Automated Machine Learning : a beginner's guide to building automated machine learning systems using AutoML and Python. by Das, Sibanjan

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Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python by Banik, Rounak

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Delphi High Performance : Build fast Delphi applications using concurrency, parallel programming and memory management. by Gabrijelčič, Primož

Table of Contents: “…Object file formatsObject file linking in practice; Using C++ libraries; Using a proxy DLL in Delphi; Summary; Chapter 9: Best Practices; About performance; Fixing the algorithm; Fine-tuning the code; Memory management; Getting started with the parallel world; Working with parallel tools; Exploring parallel practices; Using external libraries; Final words; Other Books You May Enjoy; Index.…”
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Hands-on artificial intelligence for cybersecurity : implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies by Parisi, Alessandro

Table of Contents: “…; Useful keyboard shortcuts; Choose your notebook kernel; Getting your hands dirty; Installing DL libraries; Deep learning pros and cons for cybersecurity; TensorFlow; Keras…”
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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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The discrete fourier transform : theory, algorithms and applications by Sundararajan, D.

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The ultimate algorithmic trading system toolbox + website : using today's technology to help you become a better trader by Pruitt, George, 1967-

Table of Contents: “…Flow Control StructuresFunctions; Utilizing Exploration for Debugging; Position Sizing in Futures Mode; Appendix B: Excel System Backtester; Data Arrays; Keywords; Functions and Subroutines; Appendix C: Python System Backtester; Data Arrays or Lists; Keywords and Identifiers; Classes; Indicator Classes and Functions; Python-Specific Keywords; Appendix D: TradeStation and EasyLanguage; Importing ELD file from Book Website; Keywords and Functions; Sample Algorithm Codes; Appendix E; About the Companion Website; Index; End User License Agreement.…”
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Learning JavaScript Data Structures and Algorithms : Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition. by Groner, Loiane

Table of Contents: “…Using native ES2015 imports in Node.jsRunning ES2015 modules in the browser; ES2015+ backward compatibility; Introducing TypeScript; Type inference; Interfaces; Generics; Other TypeScript functionalities; TypeScript compile-time checking in JavaScript files; Summary; Chapter 3: Arrays; Why should we use arrays?…”
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Time reversability, computer simulation, algorithms, chaos by Hoover, William G. (William Graham), 1936-

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Reconstructive surgery of the hand and upper extremity by Germann, G. (Günter), 1952-, Levin, L. Scott, Sherman, R. (Randolph)

Table of Contents: “…Dorsal Soft Tissue Injury to Finger and Hand -- 24. Volar Soft Tissue Injury to Finger and Hand/Palm -- 25. …”
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Fundamentals of grid computing : theory, algorithms and technologies

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Building software for simulation : theory and algorithms, with applications in C++ by Nutaro, James

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Inverse synthetic aperture radar imaging with MATLAB algorithms by Özdemir, Caner

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Between stillness and motion : film, photography, algorithms

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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…ROMANCE SYNTAX, SEMANTICS AND L2 ACQUISITION -- Editorial page -- Title page -- Copyright page -- Acknowledgements -- Table of contents -- CONTRIBUTORS -- Dedication -- ROMANCE SYNTAX, SEMANTICS, AND L2 ACQUISITION -- 0. …”
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Machine learning : hands-on for developers and technical professionals by Bell, Jason (Computer scientist)

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Deep learning with Python : a hands-on introduction by Ketkar, Nikhil

Table of Contents: “…Stochastic; Challenges with SGD; Local Minima; Saddle Points; Selecting the Learning Rate; Slow Progress in Narrow Valleys; Algorithmic Variations on SGD; Momentum.…”
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What Is Thought? by Baum, Eric B., 1957-

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