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Computer Vision
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
The Simpsons and Their Mathematical Secrets
From bestselling author of Fermat's Last Theorem, a must-have for number lovers and Simpsons fans
A First Course in Machine Learning, Second Edition
"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by cover...
Machine Learning
Machine learning has revolutionized industries, from healthcare to entertainment, by enhancing how we understand and interact with data. Despite its prevalence, mastering this field requires both theoretical knowledge and practical skills. This book bridges that gap, starting with foundational concepts and essential mathematics, then advancing through a wide range of algorithms and techniques. It covers supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning, with clear explanations and practical examples. Real-world applications are highlighted through scenarios and case studies, demonstrating how to solve specific problems with machine learning. You...
Learning Deep Learning
NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Crai...
American Prince
As a young soldier, Vice President Embry Moore learned the bittersweet truth about loving a hero: it can never last. Having made sacrifice after silent sacrifice to protect the best man he’s ever known, he’s only just now found his way back into Ash’s arms--and into the heart of Ash’s wife, Greer. But when Greer is taken from Ash and Embry’s bed, it sets in motion a series of painful revelations that threaten to turn their years of tortured love against them… From the USA Today bestselling author of American Queen comes the second installment in the New Camelot trilogy, a contemporary fairy tale of power, pain, and an all-consuming love that won’t be denied.
SPEECH! How Language Made Us Human
"I couldn't stop reading until I finished it. This book should be widely read!" - JAMES LOVELOCK "I'm glad I read it. A literate and stylish writer." - RICHARD DAWKINS "I think you're right." - STEVEN PINKER What makes us human? Why are we the only animals who wear clothes, drive cars, trawl the internet, and fly helicopters on Mars? It's all because we've learnt to talk: yet remarkably, we still don't know how we did it. SPEECH! suggests an answer that's been hiding in plain sight - the simple yet radical shift that turned our analog grunts and shrieks into words. But its consequences are far from simple: being able to share ideas through language was an evolutionary tipping point - it allo...
Love Radio
Prince Jones, a self-professed teen love doctor known for his radio segment on the local hip-hop station, believes he can get the bookish, anti-romance Dani Ford to fall in love with him in three dates.
Barely Missing Everything
“There are moments when a story shakes you...Barely Missing Everything is one of those stories, and Mendez, a gifted storyteller with a distinct voice, is sure to bring a quake to the literary landscape.” —Jason Reynolds, New York Times bestselling author of Long Way Down In the tradition of Jason Reynolds and Matt de la Peña, this heartbreaking, no-holds-barred debut novel told from three points of view explores how difficult it is to make it in life when you—your life, brown lives—don’t matter. Juan has plans. He’s going to get out of El Paso, Texas, on a basketball scholarship and make something of himself—or at least find something better than his mom Fabi’s cruddy apa...
Machine Vision
Machine Vision: Theory, Algorithms, Practicalities covers the limitations, constraints, and tradeoffs of vision algorithms. This book is organized into four parts encompassing 21 chapters that tackle general topics, such as noise suppression, edge detection, principles of illumination, feature recognition, Bayes' theory, and Hough transforms. Part 1 provides research ideas on imaging and image filtering operations, thresholding techniques, edge detection, and binary shape and boundary pattern analyses. Part 2 deals with the area of intermediate-level vision, the nature of the Hough transform, shape detection, and corner location. Part 3 demonstrates some of the practical applications of the basic work previously covered in the book. This part also discusses some of the principles underlying implementation, including on lighting and hardware systems. Part 4 highlights the limitations and constraints of vision algorithms and their corresponding solutions. This book will prove useful to students with undergraduate course on vision for electronic engineering or computer science.
