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Applied Machine Learning

This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes cr...

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Bibliographic Details
Main Author:	Dudek, Grzegorz
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Openai Gym Machine Learning Data Mining Sampling Student Performance Prediction Gaussian Mixture Models (gmm) Instance Selection Online Taxi-hailing Demand Physics-informed Neural Network Predictive Analytics Rumor Refuter Chenab River Basin Backscatter Data Evolutionary Computation Anticipatory Classifier Systems Synthetic Data Felder-silverman Learning Style Image Representation Airflow Signal Construction Site Management Autoencoder Learning Classifier Systems Big Data Deep Learning Human Resources Management Image Completion Lidar Ceilometer Educational Data Mining Performance Measurement Grade Point Average Lda Mass Operator Bitcoin Bert Cost-benefit Function Crowdfunding Crossover Student Grade Prediction Artificial Neural Network Superpixel Segmentation Structural Stress Topic Analysis Reinforcement Learning Information Technology Industries / Bicssc Vulnerability Detection Parsing Expression Grammar Climate Change Impact Grammatical Inference Non-deterministic Automata Induction K-means Resnet Multiple Linear Regression Saliency Detection Ncls Construction Safety Adaptive Camouflage Convolutional Neural Networks Real-time Prediction Volatility Forecasting Prediction Genetic Algorithms Climate Zone Earning Rate Context-aware Support Vector Machine Compressive Strength Random Forest Regression Model Cloud Detection Computer Vision Machine Learning Analysis Heatwaves Construction Productivity Weather Nowcasting Micro-blogs (twitter) Healthcare Side Information Graph Interpretation Consumer Classification Nature Language Processing Undergraduate Hybrid Models Tripadvisor Genetic Programming Early Prognosis Drifter Trajectory Covid Large-scale Dataset Jhelum River Basin Towards Recommending Influencers Based On Topic Classification Backpropagation Neural Network Over-the-top Sales Project Recommendation System Cyclical Learning Rate User Generated Content Course Grades Higher Order Neural Network Tracking Social Network Services Weather Detection Support Vector Machines Grnn Extreme Gradient Boosting N/a Robust Matrix Factorization Sleep Apnea Vibration Test Stock Performance Feature Analysis Scene Classification Deep Multi-target Prediction Deep Neural Network Arima Wave Equation Lstm Deep Neural Networks Social Media Gpt-2 Model Advanced Design Methods Local Features Geopolymer Concrete Answer Set Programming Sentence Modeling Fly Ash Coreg Algorithm Cyber Security Kdv-burgers Equation Object Detection Transfer Learning Xgboost Semi-regression Kdv Equation Preprocessing Time-series Predictions Nlp Sentiment Analysis Relative Support Distance Academic Performance Warehouse Optimization Computer Science / Bicssc Cross Referencing Topic Volatility Time-aware Classification Machine Learning Algorithms Comparison Of Various Techniques For Topic Classification Partial Differential Equations Remote Sensing Svm Investigation Framework Bilstm Keyword Extraction Live Prediction Classification Principal Component Analysis Text Representation Convolutional Neural Network (cnn) Decision Tree Cascaded Classifier Autoencoders Convolutional Neural Network Adaptive E-learning Systems Word Embedding Support Vector Candidates Code Auto-completion Prophet Optimization Neural Network Personal Teaching And Learning
Online Access:	https://directory.doabooks.org/handle/20.500.12854... https://www.mdpi.com/books/pdfview/book/7503
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. The topics within the chapters of the publication fall into six categories: computer vision, teaching and learning, social media, forecasting, basic problems of machine learning, and other topics.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:	1 electronic resource (808 p.)
ISBN:	9783036579061 9783036579078 books978-3-0365-7907-8

Applied Machine Learning

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