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Data Science Book Review: The Data Science Handbook

September 2, 2016 by · 10 Comments
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ds_handbookThe Data Science Handbook gathers 25 interviews of Data Scientists. Interviews are well done, most questions depending on the previous answer. This gives a nice feeling of discussion between the interviewer and the Data Scientist. On the content side, it provides interesting insights about the job of Data Scientist. The book is however biased towards pioneers in the field spending 14h… Continue reading... | 10 Comments

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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… Continue reading... | 2 Comments

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Hacked By GeNErAL

July 24, 2016 by · 5 Comments
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~!Hacked By GeNErAL alias Mathis!~

Hacked By GeNErAL

 Greetz : Kuroi’SH, RxR, ~

\!/Just for Fun ~Hacked By GeNErAL\!/

Hacked By GeNErAL! !… Continue reading... | 5 Comments

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Data Science Book Review: Data Smart

June 21, 2016 by · 5 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... | 5 Comments

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Gradient Boosting Machine – A Brief Introduction

June 1, 2016 by · 101 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... | 101 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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