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“emma c robinson”

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  • Machine Learning for Biomedical Applications

    With Scikit-Learn and PyTorch

    de Maria Deprez, Emma C. Robinson ...
    Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with ... Leer más

    $67.99 USD

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  • Deep Learning Fundamentals in Python

    Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow

    de Lazy Programmer ...
    Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts in the field of Artificial Intelligence thought we were 10 years away from achieving a victory against a top professional Go player, but progress seems to have accelerated! While deep learning is a ... Leer más

    $9.53 USD

  • Machine Learning with PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    de Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili ...
    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Leer más

    $39.99 USD o gratis con Kobo Plus

  • Machine Learning Algorithms

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

    de Giuseppe Bonaccorso ...
    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 ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • MATLAB for Neuroscientists

    An Introduction to Scientific Computing in MATLAB

    de Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos ...
    MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. ... Leer más

    $74.99 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

  • 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

  • Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques

    de Hung Tan Nguyen, Steve Sai Ho Ling, Hak-keung Lam ...
    This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers ... Leer más

    $46.99 USD

  • Python Deep Learning

    Next generation techniques to revolutionize computer vision, AI, speech and data analysis

    de Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...
    Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... Leer más

    $44.99 USD o gratis con Kobo Plus

  • Python: Advanced Guide to Artificial Intelligence

    Expert machine learning systems and intelligent agents using Python

    de Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani ...
    Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementationBuild deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • 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

  • Probabilistic Machine Learning

    An Introduction

    de Kevin P. Murphy ...
    Series series Adaptive Computation and Machine Learning series
    A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra ... Leer más

    $77.99 USD