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Emmanuelle Rieuf
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Profile Information

Short Bio
I am a french student at Concordia University in Montreal, majoring in International Business.
I am currently working as a junior editor at Data Science Central.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/emmanuelle-rieuf-569210120?trk=nav_respo...
Field of Expertise
Data Science
Professional Status
Student
Your Job Title:
Junior Editor
Interests:
Networking

Emmanuelle Rieuf's Blog

Book: Introduction to Statistics

Posted on November 30, 2017 at 8:30am 0 Comments

Authored by Henry Gersh, with Habiba Emadi. 

Data analysis will be invaluable to any student that is considering studying Statistics at University, College or High School. The book contains both Descriptive and 1-sample Inferential Statistics and is crammed with easy to understand examples, solved problems and supplementary questions.

The book also includes 5 complete trial exams with very detailed solutions. The trial exams contain a grading system that…

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A simple neural network with Python and Keras

Posted on October 3, 2017 at 3:00pm 0 Comments

This article was written by Adrian Rosebrock. Adrian is an entrepreneur and Ph.D who has launched two successful image search engines, ID My Pill and Chic Engine.…



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An Introduction to Clustering and different methods of clustering

Posted on October 1, 2017 at 4:30pm 0 Comments

This article was written by Saurav Kaushik. Saurav is a Data Science enthusiast, currently in the final year of his graduation at MAIT, New Delhi. He loves to use machine learning and analytics to solve complex data problems.

Introduction

Have you come across a situation when a Chief Marketing Officer of a company tells you – “Help me understand our customers better so that we can market our…

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Book: Mastering Feature Engineering

Posted on September 7, 2017 at 8:00am 0 Comments

Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on feature engineering, this complete hands-on guide teaches beginning-to-intermediate data scientists how to work with this…

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