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1 - 12 de 12 resultados para “kumar navulur”
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  • Multispectral Image Analysis Using the Object-Oriented Paradigm

    de Kumar Navulur ...
    Series series Remote Sensing Applications Series
    Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information ... Leer más

    $98.99 USD

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  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    de Andreas C. Müller, Sarah Guido ...
    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Leer más

    $36.99 USD

  • Learning OpenCV

    Computer Vision with the OpenCV Library

    de Gary Bradski, Adrian Kaehler ...
    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Leer más

    $28.99 USD

  • Generative Deep Learning

    Teaching Machines To Paint, Write, Compose, and Play

    de David Foster ...
    Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.The book ... Leer más

    $48.99 USD

  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    de Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Leer más

    $55.99 USD

  • Algorithms for Image Processing and Computer Vision

    de J. R. Parker ...
    A cookbook of algorithms for common image processing applicationsThanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics ... Leer más

    $84.00 USD

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    de Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Leer más

    $36.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Remote Sensing and GIS for Ecologists

    Using Open Source Software

    Edición de Martin Wegmann, Benjamin Leutner, Stefan Dech ...
    Series series Data in the Wild
    This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of ... Leer más

    $46.99 USD

  • TensorFlow for Deep Learning

    From Linear Regression to Reinforcement Learning

    de Bharath Ramsundar, Reza Bosagh Zadeh ...
    Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the ... Leer más

    $43.99 USD

  • Practical Machine Learning for Computer Vision

    End-to-End Machine Learning for Images

    de Valliappa Lakshmanan, Martin Görner, Ryan Gillard ...
    This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset ... Leer más

    $55.99 USD

  • Deep Learning with PyTorch Quick Start Guide

    Learn to train and deploy neural network models in Python

    de David Julian ...
    Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing.Key FeaturesClear and concise explanationsGives important insights into deep learning modelsPractical demonstration of key conceptsBook DescriptionPyTorch is extremely powerful and ... Leer más

    $25.99 USD o gratis con Kobo Plus