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Clojure for Data Science Cover

Clojure for Data Science

Statistics, big data, and machine learning for Clojure programmers

Paid access
|Sep 2025
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Statistics, big data, and machine learning for Clojure programmers

Key Features

    Book Description

    What you will learn

    • Perform hypothesis testing and understand feature selection and statistical significance to interpret your results with confidence
    • Implement the core machine learning techniques of regression, classification, clustering and recommendation
    • Understand the importance of the value of simple statistics and distributions in exploratory data analysis
    • Scale algorithms to websized datasets efficiently using distributed programming models on Hadoop and Spark
    • Apply suitable analytic approaches for text, graph, and time series data
    • Interpret the terminology that you will encounter in technical papers
    • Import libraries from other JVM languages such as Java and Scala
    • Communicate your findings clearly and convincingly to nontechnical colleagues

    Who this book is for

    Table of Contents

    1. Beginning Data Analysis with Clojure
    2. Statistical Inference
    3. Correlations
    4. Finding Correlations in Big Data
    5. Labeling Things
    6. Making Predictions and Spotting Outliers
    7. Recommender Systems
    8. Hierarchical and Graph Data
    9. Integrating into Production Systems
    10. Into Production
    PDF ISBN: 978-1-78439-750-0
    Publisher: Packt Publishing Limited
    Copyright owner: © 2015 Packt Publishing Limited
    Publication date: 2025
    Language: English
    Pages: 608