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Data Science Book Review: Everydata

August 22, 2016 by · 2 Comments
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EverydataGoing opposite direction to the current Big Data trend, Johnson and Gluck discuss the little data we consume everyday in their book Everydata. The book is a fresh and easy reading. Through several practical examples, authors covers topics such as sample selection bias, correlation vs. causation and graphics (e g. how to play with plot axes).

Everydata is full of anecdotes and interesting stories. Most of them are provided in a one or two page format. After reading the book, you will have plenty of data anecdotes to share. To conclude, Everydata is a must read, not only for you, but also for your boss, friends and family.

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Data Science Book Review: The Business Forecasting Deal

July 24, 2016 by · 3 Comments
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9780470574430.pdfThere are not many books on forecasting. Even less good books. The Business Forecasting Deal, by Michael Gilliland, is one of them. The book is among the rare ones providing real practical advices for professionals. No theory, no equation, no code. The book focuses on typical forecasting challenges, misconceptions and issues when deploying processes into production. The main point of the… Continue reading... | 3 Comments

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Data Science Book Review: Data Smart

June 21, 2016 by · 4 Comments
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DSmartIf you want to get started with Data Science and don’t like learning a new language such as R or Python, then this book is a perfect fit for you. Entertaining, Data Smart: Using Data Science to Transform Information into Insight approaches data science from a unusual angle. John W. Foreman has written a book for those who wants to apply… Continue reading... | 4 Comments

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Gradient Boosting Machine – A Brief Introduction

June 1, 2016 by · 5 Comments
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treesOne of the Predictive Analytics projects I am working on at Expedia uses Gradient Boosting Machine (GBM). This is currently one of the state of the art algorithms in Machine Learning. This article provides insights on how to get started and advices for further readings.

I will now focus on the use of GBM for regression, based on decision trees… Continue reading... | 5 Comments

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Data Science Book Review: An Introduction to Statistical Learning

May 12, 2016 by · 1 Comment
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ISLWithout any suspense, “An Introduction to Statistical Learning” (ISL) by James, Witten, Hastie and Tibshirani is a key book in the Data Science literature. I would summarize it as a book written by statisticians for non-statisticians. Indeed, while the book “The Elements of Statistical Learning” was heavy on theory and equations, ISL is the practical counterpart. The book is very clear… Continue reading... | 1 Comment

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5 Ways in which Data is Empowering Consumers

April 11, 2016 by · 5 Comments
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This is a guest post from William Blears, Founder of Perceptive Digital.

There’s been a lot of talk lately about how data is driving online marketing forward. What you don’t often hear is how this same data is empowering customers to make wiser purchasing decisions. I thought it’d be interesting to highlight five ways in which empowered consumers can benefit from an abundance of available data.

#1. Considering… Continue reading... | 5 Comments

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Book Review: Automate This

April 4, 2016 by · Leave a Comment
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Automate-ThisAutomate This is a journey into the world of anything that can be automated, from stock picking to medical diagnosis. The author, Christopher Steiner, excels in telling stories and bringing interesting anecdotes to the reader. Although focused on the trading world, the book explores topics such as automated music creation, geopolitical analysis and poker playing.

Automate This is about the… Continue reading...

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