Probability & Statistics
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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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Stochastic Comparisons With Applications
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Model Design and Simulation Analysis
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Introduction to the Mathematics of Finance
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Introduction to Probability and Statistics for Data Science
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Bayesian Modeling of Spatio-Temporal Data With R
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Practical Web Scraping for Data Science: Best Practices and Examples With Python
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