inference and learning

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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Inference and Learning from Data: Volume 1: Foundations
Inference and Learning from Data: Volume 1: Foundations
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Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
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Inference and Learning from Data
Inference and Learning from Data
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Computational Global Macro: Game Theory, Machine Learning, And Causal Inference
Computational Global Macro: Game Theory, Machine Learning, And Causal Inference
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Inference and Learning from Data: Volume 3: Learning
Inference and Learning from Data: Volume 3: Learning
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
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Information Theory, Inference and Learning Algorithms
Information Theory, Inference and Learning Algorithms
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Inference and Learning from Data: Volume 2: Inference
Inference and Learning from Data: Volume 2: Inference
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Philosophical Problems of Statistical Inference: Learning from R.A. Fisher: 22 (Theory and Decision Library, 22)
Philosophical Problems of Statistical Inference: Learning from R.A. Fisher: 22 (Theory and Decision Library, 22)
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Bayesian Deep Learning: Work with Bayesian Neural Networks BNN and BDL to employ an Ensemble of Deep Learning Models
Bayesian Deep Learning: Work with Bayesian Neural Networks BNN and BDL to employ an Ensemble of Deep Learning Models
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Scientific Inference: Learning from Data
Scientific Inference: Learning from Data
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Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning (River Publishing in Software Engineering)
Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning (River Publishing in Software Engineering)
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Computer Vision: Models, Learning, and Inference
Computer Vision: Models, Learning, and Inference
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The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics)
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Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
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Statistical Inference and Machine Learning for Big Data
Statistical Inference and Machine Learning for Big Data
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Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
Machine Learning for Structural Econometrics With Python: A Hands-On Guide to Lasso, Boosting, and Deep IV for Credible Structural Inference (Richman Computational Economics)
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Targeted Learning: Causal Inference for Observational and Experimental Data (Springer Series in Statistics)
Targeted Learning: Causal Inference for Observational and Experimental Data (Springer Series in Statistics)
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MLIR FOR MACHINE LEARNING COMPILERS: TENSORFLOW, PYTORCH, AND HARDWARE ACCELERATION: Optimize inference and training with dialect design, graph transformations, and custom accelerator code generation
MLIR FOR MACHINE LEARNING COMPILERS: TENSORFLOW, PYTORCH, AND HARDWARE ACCELERATION: Optimize inference and training with dialect design, graph transformations, and custom accelerator code generation
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Mastering Tensor Processing Units: High-Performance Deep Learning with Google TPU Architecture, Training, and Inference
Mastering Tensor Processing Units: High-Performance Deep Learning with Google TPU Architecture, Training, and Inference
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Building Machine Learning APIs: From PyTorch Training to High-Performance Inference with ONNX and FastAPI
Building Machine Learning APIs: From PyTorch Training to High-Performance Inference with ONNX and FastAPI
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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies (Springer Series in Statistics)
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Machine Learning at the Edge: Optimizing Models for On-Device Inference
Machine Learning at the Edge: Optimizing Models for On-Device Inference
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Learning and Inference in Computational Systems Biology - Computational Molecular Biology [Neil D. Lawrence]
Learning and Inference in Computational Systems Biology - Computational Molecular Biology [Neil D. Lawrence]
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Machine Learning at the Edge: Optimizing Models for On-Device Inference
Machine Learning at the Edge: Optimizing Models for On-Device Inference
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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Statistical Inference for Machine Learning: Unlocking AI and Data Science: Python Blueprints for Practical Statistical Machine Learning
Statistical Inference for Machine Learning: Unlocking AI and Data Science: Python Blueprints for Practical Statistical Machine Learning
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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Modern Machine Learning Techniques: LLMs, MLOps & Edge Inference
Modern Machine Learning Techniques: LLMs, MLOps & Edge Inference
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
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Causal Inference Comes to Machine Learning
Causal Inference Comes to Machine Learning
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Mathematics For Machine Learning and Inference: A Comprehensive Guide to Regression, Probability, PCA, Bayesian methods, and SVMs
Mathematics For Machine Learning and Inference: A Comprehensive Guide to Regression, Probability, PCA, Bayesian methods, and SVMs
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By David J. C. MacKay: Information Theory, Inference & Learning Algorithms First (1st) Edition
By David J. C. MacKay: Information Theory, Inference & Learning Algorithms First (1st) Edition
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Causal Inference in Machine Learning: A Beginner-Friendly Hands-on Guide to Uncovering Cause-and-Effect Relationships with Python
Causal Inference in Machine Learning: A Beginner-Friendly Hands-on Guide to Uncovering Cause-and-Effect Relationships with Python
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C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
C++ Machine Learning: Turbocharge AI Workflows with High-Performance Training, On-Device Inference & Low-Level Tuning
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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Causal Inference Comes to Machine Learning
Causal Inference Comes to Machine Learning
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[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
[Information Theory, Inference and Learning Algorithms] [By: MacKay, David J. C.] [September, 2003]
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