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Emmanuelle Rieuf
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Sneha Vadakkemadathil liked Emmanuelle Rieuf's blog post 12 Algorithms Every Data Scientist Should Know
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"the single biggest worry is that statisticians and more often people who use statistics in business/research don't understand the pitfalls of a poorly constructed hypothesis statement. They also ignore TYPE II Error - Beta risk factor and…"
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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

The one critical skill many data scientists are missing

Posted on February 2, 2018 at 9:00am 0 Comments

This article was written by Emma Walker. Emma is a data scientist at Qriously.

When I started to learn about data science and consider it as a career choice, there was a diagram that I came across regularly and still come across today, in articles and even text books aimed at introducing and educating the world about the “sexiest job of the 21st century.” First created by Drew Conway, it illustrates the three broad skill groups you need to be a data scientist.…

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7 Visualizations You Should Learn in R

Posted on January 13, 2018 at 9:00am 3 Comments

This article was posted by Dikesh Jariwala on R Bloggers.

With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualization is an art of how to turn numbers into useful knowledge.

R Programming lets you learn this art by offering a set of inbuilt functions and libraries to build visualizations and present data. Before the…

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Machine Learning Guide and Tutorial for Software Engineers

Posted on January 11, 2018 at 1:00pm 0 Comments

This article was written by Nam Vu on GitHub. 

What is it? 

This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer.My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the Math for the beginner. This approach is unconventional because it’s the top-down and results-first approach designed for…

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Design Patterns for Deep Learning Architectures - with Free eBook

Posted on January 10, 2018 at 11:30am 0 Comments

This article comes from DeepLearningPatterns.. 

Deep Learning can be described as a new machine learning toolkit that has a high likelihood to lead to more advanced forms of artificial intelligence. The evidence for this is in the sheer number of breakthroughs that had occurred since the beginning of this decade. There is a new found optimism in the air and we are now again in a new AI spring.

Unfortunately, the current state of deep learning appears to many ways to be…

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