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    Numsense! Data Science for the Layman: No Math Added

    Posted By: naag
    Numsense! Data Science for the Layman: No Math Added

    Numsense! Data Science for the Layman: No Math Added
    English | 2017 | ASIN: B01N29ZEM6 | 147 pages | PDF | 11.49 MB

    Reference text in top universities like Stanford and Cambridge
    Sold in over 85 countries, translated into more than 5 languages


    Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.

    Popular concepts covered include:
    A/B Testing
    Anomaly Detection
    Association Rules
    Clustering
    Decision Trees and Random Forests
    Regression Analysis
    Social Network Analysis
    Neural Networks
    Features:
    Intuitive explanations and visuals
    Real-world applications to illustrate each algorithm
    Point summaries at the end of each chapter
    Reference sheets comparing the pros and cons of algorithms
    Glossary list of commonly-used terms
    With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.