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221
BigNum Math : Implementing Cryptographic Multiple Precision Arithmetic.
Published 2006Full text (MFA users only)
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222
MATLAB for Machine Learning.
Published 2017Table of Contents: “…; Data mining and data visualization; Regression analysis; Classification; Cluster analysis; Dimensionality reduction; Neural Network Toolbox; Statistics and algebra in MATLAB; Summary; Chapter 2: Importing and Organizing Data in MATLAB; Familiarizing yourself with the MATLAB desktop; Importing data into MATLAB; The Import Wizard; Importing data programmatically; Loading variables from file; Reading an ASCII-delimited file; Comma-separated value files; Importing spreadsheets.…”
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223
Visual Data Mining : The VisMiner Approach.
Published 2012Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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225
Computer principles and design in Verilog HDL
Published 2015Table of Contents: “…Chapter 3: Computer Arithmetic Algorithms and Implementations3.1 Binary Integers; 3.2 Binary Addition and Subtraction; 3.3 Binary Multiplication Algorithms; 3.4 Binary Division Algorithms; 3.5 Binary Square Root Algorithms; Exercises; Chapter 4: Instruction Set Architecture and ALU Design; 4.1 Instruction Set Architecture; 4.2 MIPS Instruction Format and Registers; 4.3 MIPS Instructions and AsmSim Tool; 4.4 ALU Design; Exercises; Chapter 5: Single-Cycle CPU Design in Verilog HDL; 5.1 The Circuits Required for Executing an Instruction; 5.2 Register File Design.…”
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226
Data Analytics Applied to the Mining Industry.
Published 2020Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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227
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228
Mastering Scala machine learning
Published 2016Table of Contents: “…Setting up R and SparkRLinux; Mac OS; Windows; Running SparkR via scripts; Running Spark via R's command line; DataFrames; Linear models; Generalized linear model; Reading JSON files in SparkR; Writing Parquet files in SparkR; Invoking Scala from R; Using Rserve; Integrating with Python; Setting up Python; PySpark; Calling Python from Java/Scala; Using sys.process._; Spark pipe; Jython and JSR 223; Summary; Chapter 9: NLP in Scala; Text analysis pipeline; Simple text analysis; MLlib algorithms in Spark; TF-IDF; LDA; Segmentation, annotation, and chunking; POS tagging.…”
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229
Agent-based computing
Published 2010Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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230
Project Scheduling under Limited Resources : Models, Methods, and Applications
Published 1999Full text (MFA users only)
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231
Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
Published 2014Table of Contents: “…Computing the Jaro-Winkler distance between two stringsFinding strings within one-edit distance; Fixing spelling mistakes; Chapter 4: Data Hashing; Introduction; Hashing a primitive data type; Hashing a custom data type; Running popular cryptographic hash functions; Running a cryptographic checksum on a file; Performing fast comparisons between data types; Using a high-performance hash table; Using Google's CityHash hash functions for strings; Computing a Geohash for location coordinates; Using a bloom filter to remove unique items; Running MurmurHash, a simple but speedy hashing algorithm…”
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232
Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium
Published 2006Table of Contents: “…A Comparison of Two Machine-Learning Techniques to Focus the Diagnosis TaskArgumentation Semantics for Temporal Defeasible Logic; NEWPAR: An Optimized Feature Selection and Weighting Schema for Category Ranking; Challenges and Solutions for Hierarchical Task Network Planning in E-Learning; Invited Talks; Artificial Intelligence and Unmanned Aerial Vehicles; Writing a Good Grant Proposal; Author Index…”
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233
Advances in Knowledge-Based and Intelligent Engineering and Information Systems
Published 2018Full text (MFA users only)
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234
Practical data analysis
Published 2013Table of Contents: “…; Summary; Chapter 2:Working with Data; Data sources; Open data; Text files; Excel files; SQL databases; NoSQL databases; Multimedia; Web scraping; Data scrubbing; Statistical methods; Text parsing; Data transformation; Data formats; CSV; Parsing a CSV file with the csv module; Parsing a CSV file using NumPy; JSON; Parsing a JSON file using json module; XML; Parsing an XML file in Python using xml module; YAML; Getting started with OpenRefine; Text facet; Clustering; Text filters.…”
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235
Future Farming.
Published 2023Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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236
Python programming using problem solving
Published 2023Table of Contents: “…Preface -- Section I. Algorithmic problem-solving and Python fundamentals -- Chapter 1. …”
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237
Modern optimization methods for science, engineering and technology
Published 2020Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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238
Rough fuzzy image analysis : foundations and methodologies
Published 2010Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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Effective Amazon Machine Learning.
Published 2017Table of Contents: “…Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Introduction to Machine Learning and Predictive Analytics; Introducing Amazon Machine Learning; Machine Learning as a Service; Leveraging full AWS integration; Comparing performances; Engineering data versus model variety; Amazon's expertise and the gradient descent algorithm; Pricing; Understanding predictive analytics; Building the simplest predictive analytics algorithm; Regression versus classification.…”
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