Clojure for Data Science : Statistics, Big Data, and Machine Learning for Clojure Programmers

Statistics, big data, and machine learning for Clojure programmers About This Book Write code using Clojure to harness the power of your data Discover the libraries and frameworks that will help you succeed A practical guide to understanding how the Clojure programming language can be used to derive insights from data Who This Book Is For This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you're tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities–and inform you of the risks–that exist in data of all shapes and sizes. What You Will Learn Perform hypothesis testing and understand feature selection and statistical significance to interpret your results with...

Statistics, big data, and machine learning for Clojure programmers

About This Book

• Write code using Clojure to harness the power of your data
• Discover the libraries and frameworks that will help you succeed
• A practical guide to understanding how the Clojure programming language can be used to derive insights from data

Who This Book Is For

This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you're tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities–and inform you of the risks–that exist in data of all shapes and sizes.

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 web-sized 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

In Detail

The term "data science" has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a scripting language with the speed of a compiled language. Together with its rich ecosystem of native libraries and an extremely simple and consistent functional approach to data manipulation, which maps closely to mathematical formula, it is an ideal, practical, and flexible language to meet a data scientist's diverse needs.

Taking you on a journey from simple summary statistics to sophisticated machine learning algorithms, this book shows how the Clojure programming language can be used to derive insights from data. Data scientists often forge a novel path, and you'll see how to make use of Clojure's Java interoperability capabilities to access libraries such as Mahout and Mllib for which Clojure wrappers don't yet exist. Even seasoned Clojure developers will develop a deeper appreciation for their language's flexibility!

You'll learn how to apply statistical thinking to your own data and use Clojure to explore, analyze, and visualize it in a technically and statistically robust way. You can also use Incanter for local data processing and ClojureScript to present interactive visualisations and understand how distributed platforms such as Hadoop sand Spark's MapReduce and GraphX's BSP solve the challenges of data analysis at scale, and how to explain algorithms using those programming models.

Above all, by following the explanations in this book, you'll learn not just how to be effective using the current state-of-the-art methods in data science, but why such methods work so that you can continue to be productive as the field evolves into the future.

Style and approach

This is a practical guide to data science that teaches theory by example through the libraries and frameworks accessible from the Clojure programming language.

Statistics, big data, and machine learning for Clojure programmers This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you're tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunitiesand inform you of the risksthat exist in data of all shapes and sizes. The term data science has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a scripting language with the speed of a compiled language. Together with its rich ecosystem of native libraries and an extremely simple and consistent functional approach to data manipulation, which maps closely to mathematical formula, it is an ideal, practical, and flexible language to meet a data scientist's diverse needs. Taking you on a journey from simple summary statistics to sophisticated machine learning algorithms, this book shows how the Clojure programming language can be used to derive insights from data. Data scientists often forge a novel path, and you'll see how to make use of Clojure's Java interoperability capabilities to access libraries such as Mahout and Mllib for which Clojure wrappers don't yet exist. Even seasoned Clojure developers will develop a deeper appreciation for their language's flexibility! You'll learn how to apply statistical thinking to your own data and use Clojure to explore, analyze, and visualize it in a technically and statistically robust way. You can also use Incanter for local data processing and ClojureScript to present interactive visualisations and understand how distributed platforms such as Hadoop sand Spark's MapReduce and GraphX's BSP solve the challenges of data analysis at scale, and how to explain algorithms using those programming models. Above all, by following the explanations in this book, you'll learn not just how to be effective using the current state-of-the-art methods in data science, but why such methods work so that you can continue to be productive as the field evolves into the future. This is a practical guide to data science that teaches theory by example through the libraries and frameworks accessible from the Clojure programming language. SOON TO BE A MAJOR MOTION PICTURE STARRING BENICIO DEL TORO, PRODUCED BY LEONARDO DICAPRIO Cuba, 1961. A failed invasion at The Bay of Pigs results in Fidel Castro tightening his hold over Cuba. José Miguel Battle Sr., a former cop and member of the counter-revolutionary group intent on overthrowing him, is captured. Miami, 1962. José Miguel Battle Sr. travels to the USA, chased from the island by revolution, and is renamed The Godfather. A 2,500 strong Cuban-American criminal alliance is established. Known on both sides of the law as 'The Corporation', its powerful members were fellow outcasts and enemies of Castro. A hero to many Cuban-Americans, The Godfather created a unit of trusted men who fought alongside him to reclaim their nation from the Marxist dictator. Gaining money, power and inluence by running gambling rackets, money- laundering, drug tra?cking and murder, The Corporation never gave up the dream of killing Castro and reclaiming their homeland. This explosive biography reveals how an entire generation of political exiles, refugees, racketeers, corrupt cops, hitmen (and their wives and girlfriends) became caught up in this violent desire, and built a criminal empire surviving over 40 years. An epic tale of gangsters, drugs and violence, learn how The Corporation grew into one of the USA's most sordid and deadly organisations.