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1 - 12 de 12 resultados para “cs krishnamoorthy”
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  • Artificial Intelligence and Expert Systems for Engineers

    de C.S. Krishnamoorthy, S. Rajeev ...
    Series series New Directions in Civil Engineering
    This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); ... Leer más

    $280.99 USD

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  • Learning Deep Learning

    Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

    de Magnus Ekman ...
    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 ... Leer más

    $52.19 USD

  • Learn AI with Python

    Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)

    de Gaurav Leekha ...
    The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications.This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • Practical Machine Learning

    Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

    de Sunila Gollapudi ...
    Tackle the real-world complexities of modern machine learning with innovative, cutting-edge techniquesKey Features\[\*\]Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark\[\*\]Comprehensive practical solutions taking you into the future of machine learning\[\*\]Go a step further and integrate your machine learning projects ... Leer más

    $39.99 USD o gratis con Kobo Plus

  • Machine Learning for Developers

    Uplift your regular applications with the power of statistics, analytics, and machine learning

    de Rodolfo Bonnin ...
    Your one-stop guide to becoming a Machine Learning expert.Key Features-Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning- A highly practical guide explaining the concepts of problem solving in the easiest possible manner- Implement Machine Learning in the most practical wayBook DescriptionMost of us have heard about the term Machine Learning, but ... Leer más

    $37.99 USD o gratis con Kobo Plus

  • Model-Based Systems Engineering with OPM and SysML

    de Dov Dori ...
    Series series Computer Science (R0)
    Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM—the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain ... Leer más

    $62.99 USD

  • Artificial Intelligence for Big Data

    Complete guide to automating Big Data solutions using Artificial Intelligence techniques

    de Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone ...
    Build next-generation Artificial Intelligence systems with JavaKey FeaturesImplement AI techniques to build smart applications using Deeplearning4jPerform big data analytics to derive quality insights using Spark MLlibCreate self-learning systems using neural networks, NLP, and reinforcement learningBook DescriptionIn this age of big data, companies have larger amount of consumer data than ever ... Leer más

    $37.99 USD o gratis con Kobo Plus

  • Neural Network for Beginners

    Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy, and Matplotlib

    de Sebastian Klaas ...
    Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns.This book starts with a quick view of deep learning in Python which would include definition, features and applications. You would be learning about perceptron, neural networks, Backpropagation. This book would also give you a clear insight of how to ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • A Practical Approach for Machine Learning and Deep Learning Algorithms

    Tools and Techniques Using MATLAB and Python

    de Abhishek Kumar Pandey, Pramod Singh Rathore, Dr. S Balamurugan ...
    Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • Machine Learning

    Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

    de Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani ...
    The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • A User’s Guide to Network Analysis in R

    de Douglas Luke ...
    Series series Mathematics and Statistics (R0)
    Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data ... Leer más

    $76.99 USD

  • Deep Learning Essentials

    Your hands-on guide to the fundamentals of deep learning and neural network modeling

    de Anurag Bhardwaj, Wei Di, Jianing Wei ...
    Get to grips with the essentials of deep learning by leveraging the power of PythonKey FeaturesYour one-stop solution to get started with the essentials of deep learning and neural network modelingTrain different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and moreCovers popular Python libraries such as Tensorflow, Keras, ... Leer más

    $27.99 USD o gratis con Kobo Plus