Statistical Analysis Techniques in Particle Physics Fits Density Estimation and Supervised Learning 1st Edition by Ilya Narsky, Frank Porter 3527677320 9783527677320
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Statistical Analysis Techniques in Particle Physics Fits Density Estimation and Supervised Learning 1st Edition by Dr. Ilya Narsky, Prof. Frank C. Porter – Ebook PDF Instant Download/Delivery: 3527677320, 9783527677320
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Product details:
ISBN 10: 3527677320
ISBN 13: 9783527677320
Author: Dr. Ilya Narsky, Prof. Frank C. Porter
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Statistical Analysis Techniques in Particle Physics Fits Density Estimation and Supervised Learning 1st Table of contents:
1 Why We Wrote This Book and How You Should Read It
2 Parametric Likelihood Fits
3 Goodness of Fit
4 Resampling Techniques
5 Density Estimation
6 Basic Concepts and Definitions of Machine Learning
7 Data Preprocessing
8 Linear Transformations and Dimensionality Reduction
9 Introduction to Classification
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Tags: Statistical Analysis, Techniques, Particle Physics, Supervised Learning, Ilya Narsky, Frank Porter