{"product_id":"linear-algebra-with-machine-learning-and-data-hardback","title":"Linear Algebra With Machine Learning and Data - Hardback","description":"\u003cp\u003eThis book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. \u003c\/p\u003e\u003cp\u003eThis text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and their applications in regression analysis. The text can be considered in two different but overlapping general data analytics categories: clustering and interpolation. \u003c\/p\u003e\u003cp\u003eKnowledge of mathematical techniques related to data analytics and exposure to interpretation of results within a data analytics context are particularly valuable for students studying undergraduate mathematics. Each chapter of this text takes the reader through several relevant case studies using real-world data. \u003c\/p\u003e\u003cp\u003eAll data sets, as well as Python and R syntax, are provided to the reader through links to Github documentation. Following each chapter is a short exercise set in which students are encouraged to use technology to apply their expanding knowledge of linear algebra as it is applied to data analytics. \u003c\/p\u003e\u003cp\u003eA basic knowledge of the concepts in a first Linear Algebra course is assumed; however, an overview of key concepts is presented in the Introduction and as needed throughout the text.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45566318215406,"sku":"9780367458393","price":137.7,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/linear-algebra-with-machine-learning-and-data-hardback","provider":"Book Land AU","version":"1.0","type":"link"}