An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)
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Data-Driven Sports Betting with AI Models: Build Predictive Models, Analyze Betting Markets, and Turn Data into Consistent Profits Using Machine Learning and Statistical Strategies
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Statistical Learning with Math and Python: 100 Exercises for Building Logic
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Analysis of Multivariate Social Science Data: Statistical Machine Learning Methods (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Statistical Foundations of Actuarial Learning and its Applications (Springer Actuarial)
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Statistical Learning Theory: 2 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
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Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions (Springer Actuarial)
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Intelligent Data Modeling: Machine Learning Approaches and Techniques: Integrating Statistical Learning, Predictive Analytics, and Real-World Applications
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Exercises in Applied Mathematics: With a View toward Information Theory, Machine Learning, Wavelets, and Statistical Physics (Chapman Mathematical Notes)
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Statistical Modeling and Machine Learning for Molecular Biology (Chapman & Hall/CRC Computational Biology Series)
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Learning Statistical reasoning: A Practical Guide to Understanding Probability, Distributions, and Drawing Valid Conclusions from Data
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CLIMATE DATA SCIENCE WITH R: ANALYZING WEATHER PATTERNS, CLIMATE CHANGE TRENDS, AND ENVIRONMENTAL DATA USING STATISTICAL MODELING AND MACHINE LEARNING (REAL-WORLD DATA SCIENCE WITH R)
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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Gene Expression Data Analysis: A Statistical and Machine Learning Perspective
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Neural Networks and Statistical Learning – Springer Verlag
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Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence: An Intuitive Guide and Practical Steps of Learning from Data
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Statistical Learning in Genetics: An Introduction Using R (Statistics for Biology and Health)
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Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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ADVANCED SIGNAL PROCESSING: Theory, Algorithms, Statistical Methods, Machine Learning, and Hardware Implementation
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An Introduction to Statistical Learning - with Applications in Python - Springer Texts in Statistics
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Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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An Introduction to Statistical Learning: with Applications in Python
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Learning Statistical reasoning: A Practical Guide to Understanding Probability, Distributions, and Drawing Valid Conclusions from Data
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Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine: 76 (Statistics for Biology and Health, 76)
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Gene Expression Data Analysis: A Statistical and Machine Learning Perspective
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Statistical Foundations of Actuarial Learning and its Applications
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