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sampada dhole

Showing 1 - 12 of 12 results for “sampada dhole
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  • Multimodal Biometric Identification System

    Case Study of Real-Time Implementation

    This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor-level and feature-level fusion. Most of the biometric systems presently use unimodal systems, which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph ... Read more

    $233.99 USD

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  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.99 USD or Free with Kobo Plus

  • Math for Programming

    A one-stop-shop for all the math you should have learned for your programming career.Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.In Math for Programming, you’ll master the essential mathematics that ... Read more

    $29.99 USD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition ... Read more

    $48.99 USD

  • Practical Mathematics for AI and Deep Learning

    A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

    To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and ... Read more

    $14.99 USD or Free with Kobo Plus

  • Hands-On Unsupervised Learning with Python

    Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

    Discover the skill-sets required to implement various approaches to Machine Learning with PythonKey FeaturesExplore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and moreBuild your own neural network models using modern Python librariesPractical examples show you how to implement different machine learning and deep learning techniquesBook DescriptionUnsupervised ... Read more

    $35.99 USD or Free with Kobo Plus

  • Machine Learning: Theory and Practice

    "Machine Learning is a cutting-edge branch of Artificial Intelligence that has brought forth exciting new technological advances in recent years. This book introduces this important topic of current interest while also explaining its practical applications. Aimed at graduate students, teachers and researchers, this book will also help practitioners in implementing ML algorithms.This book explores ... Read more

    $31.00 USD

  • Machine Learning with Python

    Theory and Applications

    by G R Liu ...
    Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces the basic concepts, fundamental theories, essential computational techniques, codes, and applications related to ML models. With a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can ... Read more

    $53.99 USD

  • Pro Deep Learning with TensorFlow

    A Mathematical Approach to Advanced Artificial Intelligence in Python

    Series series Professional and Applied Computing (R0)
    Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow ... Read more

    $62.99 USD

  • Computer Science

    The Hardware, Software and Heart of It

    Edited by Edward K. Blum, Alfred V Aho ...
    Series series Computer Science (R0)
    Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain classical theoretical computer science topics such as ... Read more

    $49.99 USD

  • Parallel Scientific Computing in C++ and MPI

    A Seamless Approach to Parallel Algorithms and their Implementation

    Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a ... Read more

    $89.99 USD

  • Guide to Programming and Algorithms Using R

    Series series Computer Science (R0)
    This easy-to-follow textbook provides a student-friendly introduction to programming and algorithms. Emphasis is placed on the threshold concepts that present barriers to learning, including the questions that students are often too embarrassed to ask. The book promotes an active learning style in which a deeper understanding is gained from evaluating, questioning, and discussing the material, and ... Read more

    $49.99 USD