Clojure for Data Science

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