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April 2016 Blog Posts (86)

Data Diaries: Curiosity, the New Divide

By: Mac Bryla









What makes a good data analyst? This is a question I get regularly asked as I help people explore ways to see and understand their ever-growing volume of data. Analytical skills, communication skills, math, and attention to detail are usually thrown around as the essential skills required to be…

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Added by Kathleen VanDerAa on April 15, 2016 at 9:58am — No Comments

11 Deep Learning Articles, Tutorials and Resources

According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations.

Deep learning is sometimes defined as the intersection between machine learning and artificial intelligence. Many articles on deep…

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Added by Vincent Granville on April 15, 2016 at 8:49am — No Comments

Why and How do you Measure People's Perception of Image of the Workplace?

An image is a concept. It is a mental picture that we have about things such as an object, a person, a group, an organization, or a nation. It is our notion or belief about something that is not physically present around us.

The image of any entity, be it a product or a person or a company, is its intangible asset. For example, the reliability (hence the high resale value) of a used car stems from its positive image as a dependable…

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Added by Nurur Rahman on April 15, 2016 at 8:30am — No Comments

Predicting success: How Social Physics is changing the world we live in

Today I want to write about two trends and how the collision of those trends is changing the world we live in.

The first trend is the internet of everything. Right now, we have electronics and sensors tracking the behavior of almost everything. And as a consequence of the increase in the number of…

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Added by Damian Fernandez-Lamela on April 15, 2016 at 7:30am — 1 Comment

5 Reasons you should take part in Hackathons

Data is growing, and hence is the requirement for perfect decision making by companies. In this era where analytics is the new buzzword, companies are looking for able and determined Data Scientists.

But as always, the quest to get the sexiest and the highest paying job is not an easy task. For acquiring such a demanding position one must be well skilled and experienced.

Don’t freak out! Because now a days a lot of resources and tips are available to be perfect in what you are…

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Added by Sukanya Mohapatra on April 15, 2016 at 4:30am — No Comments

Global Text Analytics Market Gains Impetus from Increasing Need for Social Media Analytics

The global text analytics market has been showing tremendous growth over the last few years. The increasing need for social media analytics and the rising number of applications associated with industry-specific text analytics are driving the demand for text analytics solution across the world significantly.

In 2015, the worldwide market for text analytics stood at US$2.8 bn in terms of revenue. Rising at a CAGR of 17.60% between 2016 and 2024, the market is expected to reach a value…

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Added by Ankit Jain on April 14, 2016 at 8:30pm — No Comments

Weekly Digest, April 18

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

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Added by Vincent Granville on April 13, 2016 at 9:30am — No Comments

Data Scientists Automated and Unemployed by 2025!

Summary:  The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms.  Some of these offer true One-Click Data-In-Model-Out capability, playing to Citizen Data Scientists with limited or no data science expertise.  Who are these players and what does it mean for the profession of data science?

 …

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Added by William Vorhies on April 13, 2016 at 8:30am — 8 Comments

The tech behind the Worldbank Data Portal

Last Thursday, the World Bank’s data team announced the forthcoming all-new data.worldbank.org website. I am sure everyone here at Data Science Central knows about the gigantic Open Data portal everyone can find on Data.Worldbank.org. This section represents half of the incoming traffic on the website.

This article will explain a bit the technology used behind…

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Added by Tom Portolano on April 12, 2016 at 11:21pm — No Comments

Investigating Airport Connectedness

Contributed by the n…

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Added by NYC Data Science Academy on April 12, 2016 at 3:00pm — No Comments

Food Price Flow Visualization with Shiny App

Contributed by Bin Lin. He took NYC Data Science Academy 12 week full-time Data Science Bootcamp programbetween Jan 11th to Apr 1st, 2016. The post was based on his…

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Added by NYC Data Science Academy on April 12, 2016 at 1:30pm — No Comments

Gender Pay Gap in the United States

Contributed by Wendy Yu. Wendy took NYC Data Science Academy 12 weeks boot camp program between Jan 11th to Apr 1st, 2016. The post was based on her second class project(due at 4th week of the…

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Added by NYC Data Science Academy on April 12, 2016 at 1:30pm — 1 Comment

Sphinx on HDFS

Hi,

I would like to use sphinx on my HDFS system.

Is there here some people that would like to share with me their experience and tell me if the DB queries\transactions load were improved? are there any limitation with sphinx? how is the integration to other nosql systems? 

Thanks,

Kobi.

Added by Kobi Lemberg on April 11, 2016 at 8:39am — No Comments

10 Deep Learning Terms Explained in Simple English

 

Deep Learning is a new area of Machine Learning research that has been gaining significant media interest owing to the role it is playing in artificial intelligence applications like image recognition, self-driving cars and most recently the AlphaGo vs. Lee Sedol matches. Recently, Deep Learning techniques have become…

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Added by Mike Waldron on April 11, 2016 at 6:30am — 3 Comments

How to Treat Missing Values in Your Data

One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values.

How do you deal with missing values - ignore or treat them? The answer would depend on the percentage of those missing values in the dataset, the variables affected by missing values, whether those missing values are a part of dependent or the independent variables, etc. Missing Value treatment becomes important since the data insights or the…

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Added by Jacob Joseph on April 11, 2016 at 3:30am — 5 Comments

Using Machine Learning to Predict Customer Behaviour

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Added by Alex Marandon on April 10, 2016 at 10:47pm — 3 Comments

Can DeepMind win 'Jeopardy' and Watson win 'Go'?

original Post: linkedin

We are indeed living in interesting times, where we celebrate human-built machines defeating the best human minds at variety of activities. IBM Deep Blue's win against Chess champ…

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Added by Ashish kumar on April 10, 2016 at 10:24am — No Comments

TUPAQ - Automating Model Search for Large Scale Machine Learning

Simplifying and automating machine learning processes and techniques - that depend on large-scale, distributed datasets to achieve high statistical performance - is critical for the future of applied data science.…
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Added by Michael Walker on April 9, 2016 at 9:00am — No Comments

Role of Attribution Modelling in the Analysis of Codified Narrative

In this blog, I will be discussing the use of attribution models in relation to codified narrative. For this purpose, I will be referring to the plots of two films: the 1974 horror classic “The Texas Chainsaw Massacre”; and a 2014 dark comedy called “Tusk.” I have my own codification system called BERLIN: this is short for “Behavioural Event Reconstruction Linguistic Interface for Narratives.” An attribution model supports the inference of meaning from data. Imagine a student one day going…

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Added by Don Philip Faithful on April 9, 2016 at 7:08am — No Comments

Outlier Detection with Parametric and Non-Parametric methods

Dealing with Outliers is like searching a needle in a haystack

This is a guest…

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Added by Jacob Joseph on April 8, 2016 at 2:30am — 5 Comments

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