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“allen downey”

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  • Think Complexity

    Complexity Science and Computational Modeling

    de 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, ... Leer más

    $30.99 USD

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  • Solving Equations with MATLAB (Taken from the Book "MATLAB for Beginners: A Gentle Approach")

    de Peter Kattan ...
    This concise article of twenty pages takes you on a short tour on how to solve algebraic equations using MATLAB. The presentation covers both numerical and symbolic solution of equations. The presentation starts with a single linear equation then proceeds to a single quadratic equation. This is followed by a single highly nonlinear equation. Next, the numerical solution is presented for ... Leer más

    Gratis

  • Programming for Computations - Python

    A Gentle Introduction to Numerical Simulations with Python 3.6

    de Svein Linge, Hans Petter Langtangen ...
    Series series Mathematics and Statistics (R0)
    This book is published open access under a CC BY 4.0 license.This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five ... Leer más

    Gratis

  • 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

  • Deep Learning with Python

    de Francois Chollet ...
    SummaryDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About ... Leer más

    $49.99 USD

  • Signals and Boundaries

    Building Blocks for Complex Adaptive Systems

    de John H. Holland ...
    An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, ... Leer más

    $18.99 USD

  • Fundamentals of Deep Learning

    Designing Next-Generation Machine Intelligence Algorithms

    de 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 ... Leer más

    $48.99 USD

  • Numerical Methods

    Using MATLAB

    de 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 ... Leer más

    $85.99 USD

  • Hands-On Unsupervised Learning with Python

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

    de Giuseppe Bonaccorso ...
    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 ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • Computer Science

    The Hardware, Software and Heart of It

    Edición de 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 ... Leer más

    $49.99 USD

  • MATLAB Demystified

    de David McMahon ...
    Need to Learn MATLAB? Problem SOLVED!Get started using MATLAB right away with help from this hands-on guide. MATLAB Demystified offers an effective and enlightening method for learning how to get the most out this powerful computational mathematics tool. Using an easy-to-follow format, this book explains the basics of MATLAB up front. You'll find out how to plot functions, solve algebraic ... Leer más

    $23.99 USD

  • Learning PyTorch 2.0

    de Matthew Rosch ...
    This book is a comprehensive guide to understanding and utilizing PyTorch 2.0 for deep learning applications. It starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. We delve into the heart of PyTorch – tensors, learning their different types, properties, and operations. Through step-by-step examples, the ... Leer más

    $29.99 USD o gratis con Kobo Plus