Physics of Data Science and Machine Learning

Physics of Data Science and Machine Learning

Rauf, Ijaz A.

Taylor & Francis Ltd

11/2021

194

Mole

Inglês

9781032074016

15 a 20 dias

453

Descrição não disponível.
Chapter 1: Introduction

Chapter 2: An Overview of Classical Mechanics

Chapter 3: An Overview of Quantum Mechanics

Chapter 4: Probabilistic Physics

Chapter 5: Design of Experiments and Analyses

Chapter 6: Basics of Machine Learning

Chapter 7: Prediction, Optimization, and New Knowledge Development
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Null Hypothesis;neural networks;Digital Twin;statistical mechanics;Quantum Field Theory;quantum;Ml Model;artificial intelligence;Quantum Mechanics;AI;Vice Versa;machine learning;Response Surface Methodology;data science;EL Equation;Orthogonal Arrays;Decision Optimization Model;Hidden Units;Wave Function;Physical Experiment Data;Data's Statistical Characteristics;Slack Parameters;ANOVA Model;Regression Models;Support Vector Machines;Lagrangian Mechanics;Cyberphysical Systems;Generalized Coordinates;Full Factorial Design;Independent Generalized Coordinates;Virtual Displacement;Unlabeled Data