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  • Data Science for Sensory and Consumer Scientists

    Series series Chapman & Hall/CRC Data Science Series
    Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, machine learning, text analysis, and dashboard creation. Written by ... Leer más

    $77.99 USD

  • Analyzing Sensory Data with R

    Series series Chapman & Hall/CRC The R Series
    Choose the Proper Statistical Method for Your Sensory Data IssueAnalyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue.Covering quantitative, qualitative, and affective approaches, the book presents the big picture of sensory evaluation. Through an integrated ... Leer más

    $77.99 USD

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  • Machine Learning Design Patterns

    The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed ... Leer más

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  • Applied Text Analysis with Python

    Enabling Language-Aware Data Products with Machine Learning

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  • The Programmer's Brain

    What every programmer needs to know about cognition

    "A great book with deep insights into the bridge between programming and the human mind." - Mike Taylor, CGIYour brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code.In The Programmer’s Brain: What every programmer needs to know about ... Leer más

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  • Deep Learning with Keras

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

    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 ... Leer más

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  • Hands-On Computer Vision with TensorFlow 2

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

    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 ... Leer más

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  • 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

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    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 ... Leer más

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  • Python: Real World Machine Learning

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    The ultimate guide to using Python to explore the true power of neural networks through six projects

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  • Artificial Intelligence with Python

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

    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 ... Leer más

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