Learning Words from Reading: A Cognitive Model of Word-Meaning Inference
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Inference in Statistical Modelling and Machine Learning: A Concise Introduction
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The Reasoning Model Blueprint: Designing Test-Time Compute, Reinforcement Learning, and System 2 Inference Pipelines for LLMs
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
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Elements of Causal Inference - Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
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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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Inference and Learning from Data: Volume 3: Learning – Cambridge University Press
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The Elements of Statistical Learning – Data Mining, Inference and Prediction – Springer
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Computational Global Macro: Game Theory, Machine Learning, And Causal Inference
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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
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Machine Learning for Econometrics with Python: Causal Inference, Structural Modeling, and Predictive Methods for Economic Research
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Inference and Learning from Data: Volume 1: Foundations
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Scaling Graph Learning for the Enterprise: Production-Ready Graph Learning and Inference
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Advancing Training and Inference Methods for Reinforcement Learning-Based Job Shop Scheduling
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Advanced Bayesian Econometrics with Python: Deep Learning Priors, Variational Inference, Gaussian Processes, and Scalable MCMC for High-Dimensional Economic Models
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Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
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Deploying AI Models with Hugging Face Inference Endpoints: A Practical Guide to Scalable Machine Learning Deployment
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Philosophical Problems of Statistical Inference: Learning from R.A. Fisher: 22 (Theory and Decision Library, 22)
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Causal Inference and Reinforcement Learning for Quantitative Finance: A Practical Guide for Traders and Risk Managers
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Targeted Learning – Causal Inference for Observational & Experimental Data – Springer
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FastAPI for Production AI: Building Scalable APIs for Machine Learning Inference
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Causal Inference and Machine Learning: In Economics, Social, and Health Sciences
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Probabilistic Machine Learning with Python: Bayesian Inference, Uncertainty Quantification, and Predictive Modeling with PyMC, Stan, and Scikit-Learn
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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
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Mastering Zen 4 GPU for Machine Learning: A Practical Guide to Optimizing Zen 4 GPUs for High-Performance Workflows, Training, and Inference
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Information Theory, Inference and Learning Algorithms by David J. C. MacKay(2003-10-06)
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Inside the AI Systems Interview: A Hands-On Guide to Machine Learning Systems Design, Model Serving, and LLM Inference - with Tested Python
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Causal Inference Comes to Machine Learning
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Machine Learning for Android Engineers: From Theory to On-Device Inference
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Information Theory, Inference and Learning Algorithms by MacKay, David J. C. (2003) Hardcover
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Rust Programming for AI and CUDA: Master High-Performance Machine Learning with Safe GPU Kernels, Inference, and Scalable Training
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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Python for Econometrics: Modern Statistical Modeling, Causal Inference, and Machine-Learning Economics: A Complete Framework for Statistical Analysis, ... Series, Quantitative Economics with Python)
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