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November 2017 Blog Posts (86)

Passive vs. active data scientists

While the skills required or expected from data scientists can vary based on the organization or domain they work in, being a data scientist can be viewed not merely as owning a set of skills, but also as having a certain mindset. In that sense I can differentiate between passive data scientists and active data scientists.

The passive data scientists will use the data they receive, or perform basic tasks to collect data stored in one or several central sources. Once they have the…

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Added by Lior Shamir on November 30, 2017 at 2:00pm — No Comments

Book: Introduction to Statistics

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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Added by Emmanuelle Rieuf on November 30, 2017 at 8:30am — No Comments

How to host a R Shiny App on AWS cloud in 7 simple steps

What is R Shiny App?

R shiny app is an interactive web interface. R shiny app has two components user interface object (UI.R) and server function (Server .R). The two components are passed as arguments to the shiny app function that creates a shiny app object. For more info on how to build Shiny…

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Added by Venkat Raman on November 29, 2017 at 7:18pm — No Comments

p-value and level of significance explained

The concepts of p-value and level of significance are vital components of hypothesis testing and advanced methods like regression. However, they can be a little tricky to understand, especially for beginners and good understanding of these concepts can go a long way in understanding advanced concepts in statistics and econometrics. Here, we try to simplify the concept in an easy, logical manner. Hope this helps.

P-value

In hypothesis testing, we set…

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Added by Smrati Sharma on November 29, 2017 at 4:30pm — 1 Comment

22 Great Articles About Neural Networks

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and…

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Added by Vincent Granville on November 29, 2017 at 3:30pm — No Comments

Think Like a Billionaire. Think Clean Data

Steve Ballmer the multibillionaire former CEO of Microsoft could very justifiably purchase a beach mansion in the Bahamas, erect a hammock and not have to lift a finger for the rest of his life.

But there is more on the mind of Ballmer, and…

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Added by Martin Doyle on November 29, 2017 at 5:30am — 2 Comments

Sample Job Titles and Salaries for Recently filled Data Science Positions in US

This came in my mailbox today, sent from this source. I thought you would be interested in this.

Sample list of recent placement:…

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Added by Vincent Granville on November 28, 2017 at 1:30pm — No Comments

Data or Algorithms – Which is More Important?

Summary:  Which is more important, the data or the algorithms?  This chicken and egg question led me to realize that it’s the data, and specifically the way we store and process the data that has dominated data science over the last 10 years.  And it all leads back to Hadoop.

 …

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Added by William Vorhies on November 28, 2017 at 10:36am — 1 Comment

How to measure customer satisfaction correctly

Satisfaction attributes equation

Image A: Customer Satisfaction Tree - Courtesy of MarketingStat Satisfaction Modeler©

Interest in the concept of measuring customer satisfaction is growing. More and more companies want to know how satisfied their customers are. At the same time an increasing number of decision-makers are realizing that measuring overall…

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Added by Mirio De Rosa on November 28, 2017 at 3:00am — 10 Comments

17 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

17 Great Blogs Posted in the last 12…

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Added by Vincent Granville on November 27, 2017 at 7:30pm — No Comments

Are Scientists Doing Too Much Research?

It sounds almost absurd, but that could be one factor behind the so-called “reproducibility crisis”

It sounds almost heretical to ask the question: Is there too much scientific research?…

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Added by Peter Bruce on November 27, 2017 at 3:00pm — No Comments

RNNoise: Learning Noise Suppression with Deep Learning

This article was written by Jean-Marc Valin.

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast. No expensive GPUs required — it runs easily on a Raspberry Pi. The result is much simpler (easier to tune) and sounds…

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Added by Amelia Matteson on November 26, 2017 at 12:30pm — No Comments

Astrology, Homicide Cases, and Everything Else

The “three wise men” in the story of the nativity are believed to be Magi or Zoroastrians.  As the story goes, these three wise men followed the Star of Bethlehem in search for the messiah.  For the most part, the Zoroastrians supported the one-god concept - and they also believed in a messiah.  It made sense for them - sometimes regarded as the original astrologers - to use their special talents to seek out the baby Jesus.  It makes sense purely from a narrative standpoint; although to me…

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Added by Don Philip Faithful on November 26, 2017 at 8:00am — 3 Comments

Mobile Analytics and impact on Digital Transformation

Mobile usage has surpassed the desktop usage a few years back and is fast becoming consumer’s preferred portal to the internet. Always-on consumers spend more than 70% of their media consumption and screen time on mobile devices,…

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Added by Sandeep Raut on November 26, 2017 at 2:00am — No Comments

Some Deep Learning with Python, TensorFlow and Keras

he following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments.

 

1. Linear models, Optimization…

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Added by Sandipan Dey on November 25, 2017 at 2:00pm — 4 Comments

Weekly Digest, November 27

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on November 25, 2017 at 1:30pm — No Comments

Implementing a Neural Network from Scratch in Python – An Introduction

This article was written by Denny Britz.

In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s required, but I will try to give an intuitive explanation of what we are doing. I will also point to resources for you read up on the details.

Here I’m…

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Added by Amelia Matteson on November 24, 2017 at 10:00am — No Comments

Thursday News: Tensorflow, Books, Deep Learning, NLP, Machine Learning, Chatbots

Here is our Thanksgiving selection of featured articles and resources:

Technical

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Added by Vincent Granville on November 23, 2017 at 9:16am — No Comments

Recommender Engine - Under The Hood

Many of us are bombarded with various recommendations in our day to day life, be it on e-commerce sites or social media sites. Some of the recommendations look relevant but some create range of emotions in people, varying from confusion to anger.

There are basically two types of recommender systems, Content based and Collaborative filtering. Both have their pros and cons depending upon the…

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Added by Venkat Raman on November 22, 2017 at 10:00pm — No Comments

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