LEADER 04041nam 2200481 450 001 9910467470703321 005 20210910162022.0 010 $a1-78913-042-5 035 $a(CKB)4110000000007674 035 $a(CaSebORM)9781789136913 035 $a(MiAaPQ)EBC5322213 035 $a(PPN)233405992 035 $a(Au-PeEL)EBL5322213 035 $a(CaPaEBR)ebr11525760 035 $a(OCoLC)1029492666 035 $a(EXLCZ)994110000000007674 100 $a20180405h20182018 uy 0 101 0 $aeng 135 $aurcn####||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTensorFlow $epowerful predictive analytics with tensorflow : a fast-paced guide on supervised, unsupervised, and reinforcement learning with tensorflow /$fMd. Rezaul Karim 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt,$d2018. 210 4$dİ2018 215 $a1 online resource (164 pages) 311 $a1-78913-691-1 330 $aLearn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. About This Book Understand predictive analytics along with its challenges and best practices Embedded with assessments that will help you revise the concepts you have learned in this book Who This Book Is For This book is aimed at developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. What You Will Learn Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration Explore computation graphs, data, and programming models also get an insight into an example of implementing linear regression model for predictive analytics Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasets In Detail Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google's brainchild, is immensely popular and extensively used for predictive analysis. This book is a quick learning guide on all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will learn the linear regression model for regression analysis. You will also learn how to use regression for predicting continuous values. You will learn supervised learning algorithms for predictive analytics. You will explore unsupervised learning and clustering using K-meansYou will then learn how to predict neighborhoods using K-means, and then, see another example of clustering audio clips based on their audio features. This book is ideal for developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to ... 606 $aOpen source software$xLibrary applications 606 $aOpen source software 608 $aElectronic books. 615 0$aOpen source software$xLibrary applications. 615 0$aOpen source software. 676 $a005.3 700 $aKarim$b Md. Rezaul$c(Author of TensorFlow: powerful predictive analytics with TensorFlow),$0782103 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467470703321 996 $aTensorFlow$92447930 997 $aUNINA