{"product_id":"behavior-analysis-with-machine-learning-using-r-9781032067056","title":"Behavior Analysis with Machine Learning Using R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eBehavior Analysis with Machine Learning Using R \u003c\/b\u003eintroduces 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFeatures:\u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eBuild supervised machine learning\u003cb\u003e \u003c\/b\u003emodels to predict indoor locations based on WiF\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"The book presents a significant multifold contribution to the modern state of art of artificial intelligence: it combines methods of machine learning and deep learning neural networks, automatic data reading and processing from sensors of various kind, and the R tools permitting to perform all the needed estimations. Clear exposition of numerous methods makes the book valuable for undergraduate and graduate students who want to learn the fundamentals of machine learning and deep learning, and for more experienced researchers who want to apply machine learning to analyze data from different disciplines. And last but not least—the book is illustrated with multiple color comics strips which make reading even more pleasant.\"\u003cbr\u003e\u003cb\u003e\u003ci\u003e– Technometrics\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\"\u003cb\u003eBehavior Analysis with Machine Learning Using R \u003c\/b\u003eseamlessly integrates (1) an introduction to machine learning, (2) how to build machine learning models with R, and (3) how to apply these models to human behavior. The text is well written, concise, clear, and engaging – one of the best introductions to the topic of machine learning that I have read. The methodology is clearly explained without getting bogged down in the mathematics. At the same time, the code examples clearly demonstrate the underlying mechanics of each approach. The examples are fresh and unique. Anyone interested in machine learning will find the book valuable. For those interested in human behavioral analysis with R, there is no better book currently available.\"\u003cbr\u003e\u003cstrong\u003e- Robert Kabacoff – Professor, Wesleyan University, United States of America; author of \u003cem\u003eR in Action\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\"In summary, this is an excellent book for those who attempt to use machine learning methods to deal with human behavioral data with R. The book covers the most popular methods and essential topics in machine learning while providing analysis examples implemented in the R program.\"\u003cbr\u003e- \u003cstrong\u003eCharlotte Wang\u003c\/strong\u003e, \u003cem\u003eNational Taiwan University\u003c\/em\u003e, \u003cstrong\u003eBiometrics\u003c\/strong\u003e, September 2022\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Introduction to Behavior and Machine Learning\u003cbr\u003e2. Predicting Behavior with Classification Models\u003cbr\u003e3. Predicting Behavior with Ensemble Learning\u003cbr\u003e4. Exploring and Visualizing Behavioral Data\u003cbr\u003e5. Preprocessing Behavioral Data\u003cbr\u003e6. Discovering Behaviors with Unsupervised Learning\u003cbr\u003e7. Encoding Behavioral Data\u003cbr\u003e8. Predicting Behavior with Deep Learning\u003cbr\u003e9. Multi-User Validation\u003cbr\u003e10. Detecting Abnormal Behaviors\u003cbr\u003eAppendix A. Setup Your Environment\u003cbr\u003eAppendix B. Datasets\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51018822189399,"sku":"9781032067056","price":43.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032067056.jpg?v=1750778280","url":"https:\/\/bookcurl.com\/products\/behavior-analysis-with-machine-learning-using-r-9781032067056","provider":"Book Curl","version":"1.0","type":"link"}