Data Scientist: Why it may be the best career after college

This infographic is proposed by Sandipan Pal.

Finally, the day has arrived.

After years of teaming up for group studies, setting goals and planning to fare better than your competition, you have achieved it.

Topped your grades and now waiting to make a mark in your field.

But, how do you make a mark?

Easier said than done, isn’t it?

Traditionally, it would mean… Continue reading... | 1 Comment

Share

How Analytics tools are shaping the growth story across industries

Today’s guest post is written by Mohammad Farooq

If there’s one thing that businesses across all industries have in common today, it’s in their increased adoption of data to shape business decisions. Below is a demonstration of how key industries use analytics tools and the benefits these tools have in solving challenges of data capture and use to shape growth.

Insurance

Traditionally, insurers have relied on manual sampling of… Continue reading... | 4 Comments

Share

Data Science Book Review: The Data Science Handbook

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

Share

Data Science Book Review: Everydata

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

Share

Data Science Book Review: The Business Forecasting Deal

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... | 5 Comments

Share

Gradient Boosting Machine – A Brief Introduction

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... | 100 Comments

Share