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Showing 1 - 12 of 12 results for “lindsey heagy”
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  • Data Science

    A First Introduction with Python

    by Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, Lindsey Heagy ...
    Series series Chapman & Hall/CRC Data Science Series
    Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version ... Read more

    $117.99 CAD

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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

    by 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 complex ... Read more

    $13.10 CAD

  • Deep Learning for Coders with fastai and PyTorch

    by Jeremy Howard, Sylvain Gugger ...
    Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning ... Read more

    $67.99 CAD

  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    by Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Read more

    $47.99 CAD or Free with Kobo Plus

  • AI and Machine Learning for Coders

    by Laurence Moroney ...
    If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, ... Read more

    $57.99 CAD

  • Mastering OpenCV 4 with Python

    A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

    by Alberto Fernández Villán ...
    Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and PythonApply machine learning and deep learning techniques with TensorFlow and KerasDiscover the modern design ... Read more

    $41.99 CAD or Free with Kobo Plus

  • Deep Learning with TensorFlow 2 and Keras

    Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

    by Antonio Gulli, Amita Kapoor, Sujit Pal ...
    Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Read more

    $37.99 CAD or Free with Kobo Plus

  • Artificial Intelligence with Python

    Your complete guide to building intelligent apps using Python 3.x

    by Alberto Artasanchez, Prateek Joshi ...
    New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more.Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep ... Read more

    $47.99 CAD or Free with Kobo Plus

  • Deep Learning with Keras

    Implementing deep learning models and neural networks with the power of Python

    by Antonio Gulli, Sujit Pal ...
    Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsKey FeaturesImplement various deep learning algorithms in Keras and see how deep learning can be used in gamesSee how various deep learning models and practical use-cases can be implemented using KerasA practical, hands-on guide with real-world examples to give you a strong foundation in KerasBook ... Read more

    $47.99 CAD or Free with Kobo Plus

  • Modern Computer Vision with PyTorch

    Explore deep learning concepts and implement over 50 real-world image applications

    by V Kishore Ayyadevara, Yeshwanth Reddy ...
    Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created ... Read more

    $55.99 CAD or Free with Kobo Plus

  • Hands-On Computer Vision with TensorFlow 2

    Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

    by Eliot Andres, Benjamin Planche ...
    A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and ... Read more

    $33.99 CAD or Free with Kobo Plus

  • Beginning Data Science with Python and Jupyter

    Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

    by Alex Galea ...
    Getting started with data science doesn t have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts like SVM, KNN classifiers and Random ForestsDiscover how you can use web ... Read more

    $15.99 CAD or Free with Kobo Plus