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Applied Machine Learning

Applied Machine Learning

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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.

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Keywords

  • academic performance
  • adaptive camouflage
  • adaptive e-learning systems
  • advanced design methods
  • airflow signal
  • answer set programming
  • anticipatory classifier systems
  • ARIMA
  • artificial neural network
  • autoencoder
  • autoencoders
  • backpropagation neural network
  • backscatter data
  • BERT
  • big data
  • BiLSTM
  • Bitcoin
  • cascaded classifier
  • Chenab River Basin
  • Classification
  • Climate Change Impact
  • climate zone
  • cloud detection
  • code auto-completion
  • comparison of various techniques for topic classification
  • compressive strength
  • Computer science
  • Computer vision
  • Computing & information technology
  • construction productivity
  • construction safety
  • construction site management
  • consumer classification
  • context-aware
  • convolutional neural network
  • convolutional neural network (CNN)
  • convolutional neural networks
  • COREG algorithm
  • cost-benefit function
  • course grades
  • covid
  • cross referencing topic
  • crossover
  • crowdfunding
  • cyber security
  • cyclical learning rate
  • Data mining
  • decision tree
  • deep learning
  • deep multi-target prediction
  • deep neural network
  • deep neural networks
  • drifter trajectory
  • early prognosis
  • earning rate
  • Economics, finance, business & management
  • Educational data mining
  • Evolutionary computation
  • extreme gradient boosting
  • feature analysis
  • Felder–Silverman learning style
  • fly ash
  • Gaussian Mixture Models (GMM)
  • Genetic algorithms
  • genetic programming
  • geopolymer concrete
  • GPT-2 model
  • grade point average
  • grammatical inference
  • GRNN
  • Healthcare
  • heatwaves
  • higher order neural network
  • human resources
  • hybrid models
  • image completion
  • image representation
  • Industry & industrial studies
  • Information technology industries
  • instance selection
  • Interprétation
  • investigation framework
  • Jhelum River Basin
  • K-Means
  • KdV equation
  • KdV-Burgers equation
  • keyword extraction
  • large-scale dataset
  • LDA
  • learning classifier systems
  • lidar ceilometer
  • live prediction
  • local features
  • LSTM
  • Machine learning
  • machine learning algorithms
  • Machine learning analysis
  • Management
  • mass operator
  • Media, information & communication industries
  • micro-blogs (Twitter)
  • multiple linear regression
  • n/a
  • nature language processing
  • NCLS
  • Neural Network
  • NLP
  • non-deterministic automata induction
  • object detection
  • online taxi-hailing demand
  • OpenAI gym
  • optimization
  • over-the-top
  • parsing expression grammar
  • Partial Differential equations
  • performance measurement
  • personal teaching and learning
  • physics-informed neural network
  • prediction
  • Predictive analytics
  • preprocessing
  • principal component analysis
  • project recommendation system
  • prophet
  • random forest regression model
  • real-time prediction
  • reinforcement learning
  • relative support distance
  • Remote sensing
  • ResNet
  • robust matrix factorization
  • rumor refuter
  • Sales
  • saliency detection
  • Sampling
  • scene classification
  • semi-regression
  • sentence modeling
  • sentiment analysis
  • side information graph
  • Sleep Apnea
  • Social media
  • social network services
  • stock performance
  • structural stress
  • student grade prediction
  • student performance prediction
  • superpixel segmentation
  • support vector candidates
  • support vector machine
  • support vector machines
  • SVM
  • synthetic data
  • text representation
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • time-aware classification
  • time-series predictions
  • topic analysis
  • towards recommending influencers based on topic classification
  • Tracking
  • transfer learning
  • TripAdvisor
  • Undergraduate
  • User generated content
  • vibration test
  • volatility
  • volatility forecasting
  • vulnerability detection
  • warehouse optimization
  • wave equation
  • weather detection
  • weather nowcasting
  • word embedding
  • XGBoost

Links

DOI: 10.3390/books978-3-0365-7907-8

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