{"product_id":"support-vector-machines-and-their-application-in-chemistry-and-biotechnology","title":"Support Vector Machines and Their Application in Chemistry and Biotechnology","description":"\u003cp\u003eSupport vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, \u003cstrong\u003eSupport Vector Machines and Their Application in Chemistry and Biotechnology\u003c\/strong\u003e provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools.\u003c\/p\u003e\u003cp\u003eTopics discussed include:\u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBackground and key elements of support vector machines and applications in chemistry and biotechnology\u003c\/li\u003e \u003cli\u003eElements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets\u003c\/li\u003e \u003cli\u003eThe kernel function for solving nonlinear problems by using a simple linear transformation method\u003c\/li\u003e \u003cli\u003eEnsemble learning of support vector machines\u003c\/li\u003e \u003cli\u003eApplications of support vector machines to near-infrared data\u003c\/li\u003e \u003cli\u003eSupport vector machines and quantitative structure-activity\/property relationship (QSAR\/QSPR)\u003c\/li\u003e \u003cli\u003eQuality control of traditional Chinese medicine by means of the chromatography fingerprint technique\u003c\/li\u003e \u003cli\u003eThe use of support vector machines in exploring the biological data produced in OMICS study\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eBeneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45589106852078,"sku":"9781138381971","price":99.2,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781138381971.jpg?v=1721218620","url":"https:\/\/bookland.com.au\/products\/support-vector-machines-and-their-application-in-chemistry-and-biotechnology","provider":"Book Land AU","version":"1.0","type":"link"}