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Emmanuelle Rieuf's Blog – September 2016 Archive (24)

Should you go to GeekGirlCon?

Credit : Seattle Metropolis October 2016. Click on picture to zoom 

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Added by Emmanuelle Rieuf on September 27, 2016 at 7:30pm — No Comments

Data Science Career Opportunities: Your Guide To Unlocking Top Data Scientist Jobs

This article was written by Pallavi Poojary

In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous data to provide business solutions is indeed the hero! Much has been spoken about why Big Data is here to stay and why Big Data Analytics is the best career move. Building on what’s already been written and said, let’s discuss Data Science…

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Added by Emmanuelle Rieuf on September 27, 2016 at 7:30am — No Comments

Hiring data scientists and dropping the obsession with unicorns

This article was written by Richard Downes. Richard is a Specialist Recruiter / Headhunter in the areas of Analytics, Data Science and Artificial Intelligence / Machine Learning and NLP (Natural Language Processing). His work within Analytics covers Predictive Analytics, Consumer Insight / Shopper Insight, and Loyalty right the way through to Credit and Risk.…

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Added by Emmanuelle Rieuf on September 26, 2016 at 11:00am — 1 Comment

The Unreasonable Effectiveness of Recurrent Neural Networks

This articles was written by Andrej Karpathy. Andrej, PhD student at Stanford, is a Research Scientist at OpenAI working on Deep Learning, Generative Models and Reinforcement Learning.

There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning.…

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Added by Emmanuelle Rieuf on September 24, 2016 at 11:30am — No Comments

Real-Time Crime Forecasting Challenge

The Real-Time Crime Forecasting Challenge seeks to harness the advances in ​data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal is to develop algorithms…

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Added by Emmanuelle Rieuf on September 23, 2016 at 8:30am — No Comments

‘Rogue Algorithms’ and the Dark Side of Big Data

Most of us, unless we’re insurance actuaries or Wall Street quantitative analysts, have only a vague notion of algorithms and how they work. But they actually affect our daily lives by a considerable amount. Algorithms are a set of instructions followed by computers to solve problems. The hidden…

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Added by Emmanuelle Rieuf on September 22, 2016 at 5:00pm — No Comments

Concise Visual Summary of Deep Learning Architectures

This article was written by Fjodor Van Veen. 

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first.

So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely different beasts. Though all of these architectures are presented as novel and…

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Added by Emmanuelle Rieuf on September 21, 2016 at 2:30pm — No Comments

How to find out if it's correlation or causation

This article was written by Joseph Rickert. 

We all "know" that correlation does not imply causation, that unmeasured and unknown factors can confound a seemingly obvious inference. But, who has not been tempted by the seductive quality of strong correlations?…



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Added by Emmanuelle Rieuf on September 21, 2016 at 2:30pm — 2 Comments

Beginner's guide to the history of data science

This article was written by Hannah Augur. Hannah is a writer, editor and nerd based in Berlin. She's a researcher with knowledge and work in a variety of fields, including 3D printing, fantasy video games and even coffee manufacturing.

“Big data” and “data science” may be some of the bigger buzzwords this decade, but they aren’t necessarily new concepts. The idea of data science spans many different fields, and has been slowly making its way into the…

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Added by Emmanuelle Rieuf on September 20, 2016 at 3:30pm — 1 Comment

Every Data Science Interview Boiled Down To Five Basic Questions

This article was posted by Roger Huang. Roger Huang heads up growth and marketing at Springboard. He broke into a career in data by analyzing $700 million worth of sales for a major pharmaceutical company. Now he writes content that compiles insights from Springboard's network of data experts to help others do the same.

Data science…

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Added by Emmanuelle Rieuf on September 20, 2016 at 10:00am — No Comments

What Happens in 60-Seconds Online? - Infographics

There are a lot of things that can happen in just one minute, just ask the distraught owner of the Shelby Mustang GT 500 who was on the list of cars targeted by Randall “Memphis” Raines in the classic car-heist movie, Gone in 60 Seconds.

Back in the real world and the equally fast-paced digital superhighway that is the internet, you might be just as surprised to discover just how much E-commerce activity you can fit into every sixty seconds that passes in an internet economy that just…

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Added by Emmanuelle Rieuf on September 19, 2016 at 7:00pm — No Comments

Shopper Marketing -Infographic

This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing. 

Shopper marketing focuses on the customer in and at the point of purchase. It is an integrated and strategic approach to a customer’s in-store experience which is seen as a driver of both sales and brand equity.…

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Added by Emmanuelle Rieuf on September 19, 2016 at 12:30pm — No Comments

How Hillary's Campaign is (Almost Certainly) Using Big Data

This article was written by Eric Siegel. Eric, Ph.D., is the founder of the Predictive Analytics World conference series, executive editor of The Predictive Analytics Times, and a former computer science professor at Columbia University.

Analytics will win votes this year. Science, as it did in 2012, is playing an important role for mass voter persuasion in the U.S. presidential race. It’s a numbers game: Predictive analytics targets campaign activities, strengthening a…

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Added by Emmanuelle Rieuf on September 17, 2016 at 6:30am — 1 Comment

Book: Ten Signs of Data Science Maturity

How well prepared is your organization to innovate, using data science? In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe ten characteristics of a mature data science capability. After spending years helping clients such as the US government and commercial organizations…

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Added by Emmanuelle Rieuf on September 13, 2016 at 7:30pm — No Comments

Mortality and causes of death in 2015 and 2030 - Infographics

This infographic came from Medigo. It displays data from the World Health Organization’s “Projections of mortality and causes of death, 2015 and 2030”. The report details all deaths in 2015 by cause and makes predictions for 2030, giving an impression of how global health will develop over the next 14 years. Also featured is data from geoba.se showing how life expectancy will change between now and 2030.

All percentages shown have been calculated relative to projected…

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Added by Emmanuelle Rieuf on September 12, 2016 at 10:00am — No Comments

Going Deeper into Regression Analysis with Assumptions, Plots & Solutions

This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy.

Regression analysis marks the first step in predictive modeling. No doubt, it’s fairly easy to implement. Neither it’s syntax nor its parameters create any kind of confusion. But,…

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Added by Emmanuelle Rieuf on September 8, 2016 at 12:00pm — No Comments

Book: Python Machine Learning

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

  • Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn…
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Added by Emmanuelle Rieuf on September 8, 2016 at 10:00am — 1 Comment

How to Start Learning Deep Learning

This post was written by Ofir Press. Ofir is a graduate student at Tel-Aviv University’s Deep Learning Lab. His main focus is on using deep learning for natural language processing.

"Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, …

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Added by Emmanuelle Rieuf on September 7, 2016 at 2:30pm — 1 Comment

Precision vs significance / accuracy vs precision / bias vs variance

This image was created by Kirk Borne:

 

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Added by Emmanuelle Rieuf on September 7, 2016 at 10:19am — No Comments

Book: Efficient R Programming

This is the online version of the O’Reilly book: Efficient R programming

To build the book:

  1. Install the latest version of R
    • If you are using RStudio, make sure that’s up-to-date as well
  2. Install the book dependencies.

    ## Make sure you are…
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Added by Emmanuelle Rieuf on September 7, 2016 at 8:30am — No Comments

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