Search Results - (((((((anti OR hands) OR wanting) OR makant) OR cantor) OR anne) OR shared) OR hints) algorithms.

Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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Datafied society : studying culture through data

Table of Contents: “…Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma ; 10. …”
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Content-based image classification : efficient machine learning using robust feature extraction techniques by Das, Rik, 1978-

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Scala Data Analysis Cookbook. by Arun Manivannan

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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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A practical guide to error-control coding using Matlab by Jiang, Yuan

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Sentient Enterprise The Evolution of Business Decision-making.

Table of Contents: “…More "Data Listening"; Setup for Sentience; Chapter 7 The Autonomous Decisioning Platform; Fast-Changing Capabilities; Self-Driving Cars ... and Companies; "System of Systems" Building Blocks for Sentience; Algorithms: A Must-Have for Autonomous Decisioning; Strategically Applying Algorithmic Intelligence in the Enterprise; Algorithmic "Magic."…”
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CUDA programming : a developer's guide to parallel computing with GPUs by Cook, Shane

Table of Contents: “…ALGORITHMIC ISSUESFINDING AND AVOIDING ERRORS; DEVELOPING FOR FUTURE GPUS; FURTHER RESOURCES; CONCLUSION; References; Index.…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Eat, cook, grow : mixing human-computer interactions with human-food interactions

Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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Parallel Computing : Advances and Current Issues, Proceedings of the International Conference Parco2001. by Joubert, G. R.

Table of Contents: “…Committees ; Preface ; Invited Papers ; Deploying Parallel Numerical Library Routines to Cluster Computing in a Self Adapting Fashion ; 1 Overview ; 2 Numerical libraries in shared homogeneous distributed environments ; 3 Sample software implementation and results.…”
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Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python. by Julian, David

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Advances in financial machine learning by López de Prado, Marcos Mailoc

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Handbook of Dermatology : a Practical Manual. by Mann, Margaret W.

Table of Contents: “…TreatmentDermatologic Signs; Folliculitis; Melasma; Principles of melasma therapy; IMMUNOLOGY AND IMMUNOLOGIC DISEASE; Lupus Erythematosus; Systemic lupus erythematosus criteria (4 of 11); Acute cutaneous lupus erythematosus; Subacute cutaneous lupus erythematosus; Chronic cutaneous lupus erythematosus; Autoantibody; Autoantibody sensitivities and specificities; Autoantibodies in connective tissue diseases; Anti-nuclear antibodies; ANCA (Anti-neutrophil cytoplasmic antibodies); Treatment of ANCA-associated vasculitis; Vasculitis; Small vessel vasculitis; Medium (± small) vessel vasculitis…”
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Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK. by Chassaing, Rulph

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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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R High Performance Programming. by Lim, Aloysius

Table of Contents: “…Data parallelism versus task parallelismImplementing data parallel algorithms; Implementing task parallel algorithms; Running the same task on workers in a cluster; Running different tasks on workers in a cluster; Executing tasks in parallel on a cluster of computers; Shared memory versus distributed memory parallelism; Optimizing parallel performance; Summary; Chapter 9: Offloading Data Processing to Database Systems; Extracting data into R versus processing data in a database; Preprocessing data in a relational database using SQL; Converting R expressions into SQL; Using dplyr…”
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Learning Python Design Patterns - Second Edition. by Giridhar, Chetan

Table of Contents: “…Chapter 9: Model-View-Controller -- Compound Patterns -- An introduction to compound patterns -- The Model-View-Controller pattern -- Model-knowledge of the application -- View -- the appearance -- Controller -- the glue -- A UML class diagram for the MVC design pattern -- The MVC pattern in the real world -- Modules -- Benefits of the MVC pattern -- Frequently asked questions -- Summary -- Chapter 10 -- The State Design Pattern -- Defining the State design pattern -- Understanding the State design pattern -- Understanding the State design pattern with a UML diagram -- A simple example of the State design pattern -- The State design pattern with v3.5 implementation -- Advantages/disadvantages of the State pattern -- Summary -- Chapter 11: AntiPatterns -- An introduction to AntiPatterns -- Software development AntiPatterns -- Spaghetti code -- Golden Hammer -- Lava Flow -- Copy-and-paste or cut-and-paste programming -- Software architecture AntiPatterns -- Reinventing the wheel -- Vendor lock-in -- Design by committee -- Summary -- Index.…”
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Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

Table of Contents: “…Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm -- phase 1; 5.3.3 Simulated annealing algorithm -- phase 2; 5.3.4 Constraint handling algorithm.…”
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