?Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.

Informazioni sull?autore

Eklas Hossain, Ph.D., is an Associate Professor in the Department of Electrical and Computer Engineering at Boise State University, Idaho, USA, and a registered Professional Engineer (PE) in Oregon, USA. He received his Ph.D. from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM), his MS in Mechatronics and Robotics Engineering from the International Islamic University Malaysia, and a BS in Electrical and Electronic Engineering from Khulna University of Engineering and Technology, Bangladesh, in 2016, 2010, and 2006 respectively. As the director of the iPower research laboratory, Dr. Hossain has been actively working in electrical power systems and power electronics and has published many research papers and posters. In addition, he has served as an Associate Editor for multiple international journals and is the author of several books, including MATLAB and Simulink Crash Course for Engineers (Springer, 2022). He has been an IEEE Member since 2009 and an IEEE Senior Member since 2017. His research interests include power system studies, encompassing the utility grid, microgrid, smart grid, renewable energy, energy storage systems, and power electronics, which span various converter and inverter topologies and control systems. The author has worked on several research projects on machine learning, big data, and deep learning applications in power systems, including load forecasting, renewable energy systems, and smart grids. With his dedicated research team and a group of Ph.D. students, Dr. Hossain looks forward to exploring methods to make electric power systems more sustainable, cost-effective, and secure through extensive research and analysis on grid resilience, renewable energy systems, second-life batteries, marine and hydrokinetic systems, and machine learning applications in renewable energy systems, power electronics, and climate change mitigation.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Descrizione libreria

Kennys.ie is the largest exporter of books from Ireland currently exporting to approximately 100 countries around the world. Kennys Bookshop houses hundreds of thousands of books and specialises in collection development and library services, supplying booksellers and state and university libraries on a global scale including the U.S.A.,Japan and Europe. Kennys.ie is Ireland's Largest Online Bookshop.

Visita la pagina della libreria

Informazioni sull?azienda del venditore

Kennys Bookshop and Art Galleries Ltd.
Liosban Industrial Estate, Tuam Road, Galway, Ireland

Condizioni di vendita e spedizione

Condizioni di vendita

Terms of Sale - Credit Cards: Visa, Master Card, American Express, Diner.
Payment can also be made by bank draft in Euros, drawn on an Irish Bank.

We regret that PO Boxes are not acceptable to the U.S. as our courier will not deliver to them.

In case of returns or queries please contact us by email books@kennys.ie or by phone +353 91 709350

VAT Registration - IE2238521A

Conor Kenny

Diritto di recesso

Condizioni di spedizione

Free Shipping

Tariffe di spedizione da Irlanda a U.S.A.

Tariffe di spedizione da Irlanda a U.S.A.
Quantit� dell?ordine	Da 12 a 22 giorni lavorativi	Da 10 a 20 giorni lavorativi
Primo articolo	EUR 10.50	EUR 11.50

I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.