Implementations and Applications of Machine Learning

Saad Subair · Christopher Thron

apr 2020. · Studies in Computational Intelligence 782. knjiga · Springer Nature

E-knjiga

280

Broj stranica

Ocjene i recenzije nisu potvrđene Saznajte više

O ovoj e-knjizi

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book’s GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

O autoru

Saad Subair was born on the banks of the river Nile, a few kilometers away from the capital Khartoum He is a Professor of Bioinformatics and Computer Science at the College of Computer Studies, International University of Africa (IUA), Khartoum, Sudan. Prof. Subair obtained a BSc from the University of Khartoum, PGD, MSc (Computer Science) and PhD (Bioinformatics) from UTM, Malaysia, and an MSc in Genetics from UPM, Malaysia He is an author and/or contributing author to several books, articles, and scientific papers published in USA, Germany, Malaysia, India, and Arabia. He has been Keynote Speaker in numerous regional conferences. Prof. Subair is a member of scientific and academic committees in multiple universities in the Gulf region including Princess Nourah bint Abdulrahman University at Riyadh, KSA. Prof Subair has trained hundreds of students in the fields of machine learning and bioinformatics, and has supervised and/or advised several research students who have achieved further successes in the UK and USA.

Christopher P. Thron is Associate Professor of Mathematics at Texas A&M University of Central Texas. Previously he spent a dozen years in the semiconductor industry as a systems engineer for NEC, Motorola, Freescale, and NXP. Besides consulting for various companies, Dr. Thron has obtained 3 Fulbright visiting professor fellowships and 3 U.S. Air Force faculty fellowships. He has conducted workshops and seminars in mathematical/machine learning software in several countries in Africa, as well as for the U.S. Army’s Operational Test Command. Dr. Thron’s research focuses on mathematical and statistical modeling in multiple areas of industrial mathematics, including operations research, signal processing, epidemiology, public health, and physics. He holds nine U.S. patents, and has published over 30 peer-reviewed articles.

Ocijenite ovu e-knjigu

Recite nam šta mislite.

Informacije o čitanju

Pametni telefoni i tableti

Instalirajte aplikaciju Google Play Knjige za Android i iPad/iPhone uređaje. Aplikacija se automatski sinhronizira s vašim računom i omogućava vam čitanje na mreži ili van nje gdje god da se nalazite.

Laptopi i računari

Audio knjige koje su kupljene na Google Playu možete slušati pomoću web preglednika na vašem računaru.

Elektronički čitači i ostali uređaji

Da čitate na e-ink uređajima kao što su Kobo e-čitači, morat ćete preuzeti fajl i prenijeti ga na uređaj. Pratite detaljne upute Centra za pomoć da prenesete fajlove na podržane e-čitače.

Prijavite nezakonit sadržaj