Probability & Statistics
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Graph Neural Network for Hyperspectral Image Clustering
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AI Foundations and Applications With MATLAB
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Multiphysics Modeling With Application to Biomedical Engineering
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
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Shallow and Deep Learning Principles
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Statistics for Chemical and Process Engineers
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Model-Assisted Bayesian Designs for Dose Finding and Optimization
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Linear Regression Analysis: Theory and Computing
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Machine-Learning Perspectives of Agent-Based Models
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Prototyping Python Dashboards for Scientists and Engineers
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Reinforcement Learning From Scratch
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Time Series Forecasting Using Machine Learning: Case Studies With R and iForecast
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Measuring the Business Value of Cloud Computing
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Statistical Methods for Climate Scientists
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Data Privacy and Trust in Cloud Computing
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Multi-Objective Optimization Techniques
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Programming Persistent Memory: A Comprehensive Guide for Developers
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