Introduction.- Part I Introduction to AI and ML.- Essential concepts in AL and ML.- Part II Techniques for Static Machine Learning Models.- Perceptron and Neural Networks.- Decision Trees.- Advanced Decision Trees.- Support Vector Machines.- Probabilistic Models.- Deep Learning.- Part III Techniques for Dynamic Machine Learning Models.- Autoregressive and Moving Average Models.- Hidden Markov Models and Conditional Random Fields.- Recurrent Neural Networks.- Part IV Applications.- Classification Regression.- Ranking.- Clustering.- Recommendations.- Next Best Actions.- Designing ML Pipelines.- Using ML Libraries.- Azure Machine Learning Studio.- Conclusions.
"Sinopsis" puede pertenecer a otra edición de este libro.
Dr. Ameet Joshi received his PhD from Michigan State University in 2006. He has over 15 years of experience in developing machine learning algorithms in various different industrial settings including Pipeline Inspection, Home Energy Disaggregation, Microsoft Cortana Intelligence and Business Intelligence in CRM. He is currently a Data Science Manager at Microsoft. Previously, he has worked as Machine Learning Specialist at Belkin International and a Director of Research at Microline Technology Corp. He is a member of several technical committees, has published in numerous conference and journal publications and contributed to edited books. He also has two patents and have received several industry awards including and Senior Membership of IEEE (which only 8% of members achieve).
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems.
The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 19,95 gastos de envío desde Alemania a Estados Unidos de America
Destinos, gastos y plazos de envíoGRATIS gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoLibrería: Homeless Books, Berlin, Alemania
Hardcover. Condición: Sehr gut. 1. Auflage. Unread book in excellent condition. Privately owned. Language - English. Ships from Berlin. Nº de ref. del artículo: ABE-1704151542670
Cantidad disponible: 1 disponibles
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
XXII, 261 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 9484GB
Cantidad disponible: 3 disponibles
Librería: DeckleEdge LLC, Albuquerque, NM, Estados Unidos de America
Condición: new. Nº de ref. del artículo: Shelfdream3030266214
Cantidad disponible: 1 disponibles