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Statistical Machine Learning for Human Behaviour Analysis

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions;

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Training Systems Using Python Statistical Modeling

libraries to implement effective statistical models for predictive analytics. You'll start by diving into classical statistical analysis, where you;

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Statistical and Machine Learning Approaches for Network Analysis

weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross;

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Intelligent Learning Systems

, the computational learning theory, and the use of statistics for the purpose of learning - based on previously available data.Extremely;

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Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use;

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Machine Learning in Medicine

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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Applied Machine Learning for Smart Data Analysis

Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address;

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Supervised Machine Learning

of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML;

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Statistical Analys Techn In Partic Physi

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on;

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Machine Learning Algorithms

statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms walks you through;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal;

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An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint;

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Machine Learning and Data Science

techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised;

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Statistical Learning and Data Science

analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and;

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Statistical Learning and Data Science

analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Statistical Machine Learning

for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework;

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Mastering Machine Learning with R

book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful. What You Will;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures

Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures is een boek van Strobl, Carolin;

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Supervised Machine Learning

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI;

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