Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series) - Image 1

£43.99

Chapman and Hall/CRC Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Name: Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)
Brand: Chapman and Hall/CRC
Price: 43.55 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 26 days • 26 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 26 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (22 days, 84.6%)

Price range: £44 - £44

Price levels: 2 different prices over 26 days

Description

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records. The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation. All of this, using the R programming language and real-life behavioral data. Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain. No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learningmodels to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learningmethods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learningalgorithms to discover criminal behavioral patterns. Build deep learningneural networks with TensorFlow and Kerasto classify muscle activity from electromyography signals and Convolutional Neural Networksto detect smiles in images. Evaluate the performanceof your models in traditional and multi-usersettings. Build anomaly detectionmodels such as Isolation Forests and autoencodersto detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.

Key Features

New Store Stock

Product Specifications

Brand: Chapman and Hall/CRC
Format: Paperback
ASIN: 1032067055
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 29 January 2024
Listed Since: 11 November 2023

Barcode

No barcode data available

Chapman and Hall/CRC Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)

Machine Learning: Theory and Practice

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning for Factor Investing: R Version: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

A Practical Machine Learning with R: Tutorials and Case Studies

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

Applied Machine Learning Using mlr3 in R

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Introduction to Machine Learning with Applications in Information Security (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Machine Learning: An Algorithmic Perspective, Second Edition

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Deep Learning for Unmanned Systems: 984 (Studies in Computational Intelligence, 984)

Machine Learning and its Applications

Machine Learning: A Bayesian and Optimization Perspective

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

Growth Curve Analysis and Visualization Using R (Chapman & Hall/CRC The R Series)

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Machine Learning for Social and Behavioral Research (Methodology in the Social Sciences)