LEADER 03911nam 2200481 450 001 9910828887003321 005 20200520144314.0 010 $a1-78862-590-0 035 $a(CKB)4100000004822488 035 \\$a(Safari)9781788621113 035 $a(OCoLC)1042342272 035 $a(Au-PeEL)EBL5405679 035 $a(OCoLC)1039688637 035 $a(CaSebORM)9781788621113 035 $a(MiAaPQ)EBC5405679 035 $a(PPN)233407162 035 $a(EXLCZ)994100000004822488 100 $a20180619d2018 uy 0 101 0 $aeng 135 $aurunu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMastering machine learning algorithms $eexpert techniques to implement popular machine learning algorithms and fine-tune your models /$fGiuseppe Bonaccorso 205 $a1st edition 210 1$aBirmingham ;$aMumbai :$cPackt,$d[2018] 210 4$dİ2018 215 $a1 online resource (1 volume) $cillustrations 311 $a1-78862-111-5 330 $aExplore and master the most important algorithms for solving complex machine learning problems. About This Book Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Who This Book Is For This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide. What You Will Learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques In Detail Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems... 606 $aMachine learning 606 $aAlgorithms 615 0$aMachine learning. 615 0$aAlgorithms. 676 $a006.31 700 $aBonaccorso$b Giuseppe$0262182 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828887003321 996 $aMastering machine learning algorithms$93979585 997 $aUNINA