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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

    de 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 ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • Applied Deep Learning with Python

    Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

    A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examplesKey FeaturesDesigned to iteratively develop the skills of Python users who don’t have a data science backgroundCovers the key foundational concepts you’ll need to know when building deep learning systemsComplete with step-by-step exercises and activities to help you build the skills you need ... Leer más

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  • The Applied Data Science Workshop

    Get started with the applications of data science and techniques to explore and assess data effectively

    Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems.Key FeaturesGain useful insights into data science and machine learningExplore the different functionalities and features of a Jupyter NotebookDiscover how Python libraries are used with ... Leer más

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  • Applied Data Science with Python and Jupyter

    Use powerful industry-standard tools to unlock new, actionable insights from your data

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