Mathematics
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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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The Insider’s Guide to Arm Cortex-M Development
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High Performance Computing in Science and Engineering ’19
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Residue Number Systems: Theory and Applications
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Machine-Learning Perspectives of Agent-Based Models
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Linear Algebra in Data Science
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Quantum Computing and Artificial Intelligence
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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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Weak Solutions of Partial Differential Equations
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Practical Threat Intelligence and Data-Driven Threat Hunting
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