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Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « bapi saha »
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  • Artificial Intelligence in Textile Engineering

    Basic Concepts and Applications

    par Anindya Ghosh, Subhasis Das, Bapi Saha ...
    Collections series The Textile Institute Book Series
    Artificial Intelligence in Textile Engineering explains Artificial Intelligence techniques from first principles in the perfect way for textiles materials scientists and engineers.Advances in Artificial Intelligence technology have made a substantial impact across the textiles supply chain, making products more efficient, flexible and reliable. In this book techniques such as artificial neural ... En savoir plus

    $185.99 CAD

  • Textile Engineering

    Statistical Techniques, Design of Experiments and Stochastic Modeling

    par Anindya Ghosh, Bapi Saha, Prithwiraj Mal ...
    Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical ... En savoir plus

    $122.99 CAD

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  • Advanced Deep Learning with Python

    Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

    par Ivan Vasilev ...
    Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep ... En savoir plus

    $41.99 CAD ou Gratuit avec Kobo Plus

  • STATISTICS DEMYSTIFIED 2/E

    par Stan Gibilisco ...
    Collections series Demystified

    $30.99 CAD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    par Nithin Buduma, Nikhil Buduma, Joe Papa ...
    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 ... En savoir plus

    $67.99 CAD

  • Statistical Rethinking

    A Bayesian Course with Examples in R and STAN

    par Richard McElreath ...
    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This ... En savoir plus

    $159.99 CAD

  • The Art of Randomness

    Randomized Algorithms in the Real World

    par Ronald T. Kneusel ...
    Harness the power of randomness (and Python code) to solve real-world problems in fun, hands-on experiments—from simulating evolution to encrypting messages to making machine-learning algorithms!The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve real programming and scientific problems. You’ll learn how to use randomness to run ... En savoir plus

    $43.19 CAD

  • Statistics

    An Introduction Using R

    par Michael J. Crawley ...
    "...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package RThis new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough ... En savoir plus

    $51.99 CAD

  • Think Complexity

    Complexity Science and Computational Modeling

    par Allen Downey ...
    Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you’ll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics.Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of worked examples, ... En savoir plus

    $45.99 CAD

  • Advanced Deep Learning with Keras

    Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

    par Rowel Atienza, Neeraj Verma, Valerio Maggio ...
    Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existenceKey FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsImplement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learningA wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

  • Numerical Methods

    Using MATLAB

    par George Lindfield, John Penny ...
    Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications ... En savoir plus

    $83.99 CAD

  • Ecological Models and Data in R

    par Benjamin M. Bolker ...
    Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive ... En savoir plus

    $93.49 CAD