Featured Blog Posts – April 2016 Archive (72)

Maximizing Data Value with a Data Lake

Contributed by Chuck Currin of Mather Economics:

There’s tremendous value in corporate data, and some companies can maximize their data value through the use of a data lake. This assumes that the adopting company has high volume, unstructured data to contend with. The following article describes ways that a data lake can help companies maximize the value of their data. The term “data lake” has been credited to…


Added by Lisa Hester on April 20, 2016 at 8:22am — 4 Comments

Machine Learning Ontology

Instead of seeing each Machine Learning (ML) method as a “shiny new object”, here is an attempt to create a unified picture. There is no consensus when it comes to an ontology for ML methods; organizational principles are simply ways to get our arms around knowledge so that we are not swamped by too many unconnected notions.


A powerful organization of the concepts or Ontology of ML is based on conditional expectation.




Added by PG Madhavan on April 20, 2016 at 6:11am — 1 Comment

How to improve your online KPIs – Part 1. Know your Demand

As a follow-up to my previous post "Using Machine Learning to predict Customer Behaviour", I wanted to address a similar topic but from an e-commerce perspective. How to you predict the behaviour of your visitors in your online store? and more importantly, how do you leverage this knowledge in order to optimize your traffic, conversion, profit, or whatever KPI…


Added by Alex Marandon on April 19, 2016 at 11:40pm — No Comments

Random-ized Forest: A new class of Ensemble algorithms

Originally posted on :Linkedin

It's a known fact that bagging (an ensemble technique) works well on unstable algorithms like decision trees, artificial neural networks and not on stable algorithms like Naive Bayes. The well known…


Added by Ashish kumar on April 19, 2016 at 1:30pm — No Comments

20 Data Science and Mathematical Challenges

I invite you to solve these challenges yourself before reading the solutions (for some of these problems) or hints to help you tackle these problems.

  1. Interesting Recursive Formula
  2. Identifying patterns in…

Added by Vincent Granville on April 19, 2016 at 9:44am — No Comments

Answers to dozens of data science job interview questions

We just started in this article to provide answers to one of the largest collection of data science job interview questions ever published, and we will continue to add answers to most of these questions. Some answers link to solutions offered in my Wiley data science book: you can find this book here. The 91 job interview questions were originally published…


Added by Vincent Granville on April 19, 2016 at 9:12am — No Comments

Industrialising Data Science

The application of pattern recognition technology to large datasets has revolutionised the digital economy. But digital represents only 5% of GDP in OECD countries: the remaining 95% is still largely untouched by data science (DS). The larger “old economy” companies are just beginning their data journey and data science is yet to be institutionalised: Outside the tech leviathans DS is still a cottage industry with artisan DS crafting bespoke prototypes to their own…


Added by Harry Powell on April 19, 2016 at 7:41am — 5 Comments

50 Shades of Grey – The Psychology of a Data Scientist

Unless you’ve recently graduated from one of the new Data Science courses that have been popping up online and in various universities around the world, then becoming a Data Scientist was most likely slightly accidental and was more about the journey than the destination.


Here’s my journey. See if you recognise any of it in your own:

I started out as a physicist and had a strong mathematical grounding, but I had a passion for medicine. After completing my bachelor’s…


Added by Lee Baker on April 19, 2016 at 2:00am — 6 Comments

Searching Google for Images Similar to a Specific Image

You can search Google for pictures similar to a given image, for plagiarism detection or to find people that look like you. 

Here's how I did a test:

  • I used the Search by Image tool from Google
  • I chose the option Upload an image
  • I used a screenshot tool, to extract a picture of myself, free of compromising metadata (see figure 1 and 3), then clicked on the picture icon in the Google search box to…

Added by Vincent Granville on April 18, 2016 at 6:00pm — 1 Comment

Critical Skills to Bridge the Gap Between Software Development and Data Science

Software Development and Data Science

While on the job, data scientists are often required to perform a large set of tasks that they are taught how to do through their education and formal training. Despite this, many data scientists are not taught the fundamental aspects of software…


Added by Jennifer Livingston on April 18, 2016 at 9:00am — No Comments

Talent Analytics…Does Maturity Really Matter?

This article was written by Sara Roberts. As Co-Founder and Principal Consultant at Category One Consulting (C1C), Sara is committed to helping organizations maximize their people and program effectiveness through the application of research, analytics, and evidence-based practice.

Organizations have understood the importance of using data to inform financial, sales, and marketing decisions for quite some time; however, this data-driven focus has only recently extended itself…


Added by Emmanuelle Rieuf on April 18, 2016 at 7:30am — No Comments

How Big Data is Changing the Games We Love

You’ll be hard pressed to find any industry that big data hasn’t touched in one way or another. And if you look at sports – and professional sports in particular – it’s clear that big data and the games we all know and love are closely interconnected. From coaches and players to fans and trainers, the people in and around these games now have access to technologies that weren’t even a thought in the past.

4 Specific Ways Big Data is Impacting…


Added by Larry Alton on April 18, 2016 at 5:50am — 1 Comment

How Data Security Can Protect Your Business

For the past years, one of the main concerns of businesses and consumers is data security. As technology progresses, digital thieves have become more persistent in staging their attacks to gain unauthorized access to personal information, financial records, intellectual property, and other valuable data.


Over the…


Added by Micah De Jesus on April 18, 2016 at 12:30am — No Comments

40 Interview Questions asked at Startups in Machine Learning / Data Science

This article was posted by Manish Saraswat on Analytics Vidhya. 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.

Machine learning and data science are being looked as the drivers of the next industrial revolution happening in the world today. This also means that there are numerous …


Added by Emmanuelle Rieuf on April 16, 2016 at 1:00pm — No Comments

Palming off the Earth: Data, Code, Analysis

Contributed by Wanda Wang. She  is currently in the NYC Data Science Academy …


Added by NYC Data Science Academy on April 16, 2016 at 9:30am — No Comments

Feature engineering for building clustering models

We frequently get questions about whether we have chosen all the right parameters to build a machine learning model. There are two scenarios: either we have sufficient attributes (or variables) and we need to select the best ones OR we have only a handful of attributes and we need to know if these are impactful. Both are classic examples of feature engineering challenges

Most of the…


Added by BR Deshpande on April 16, 2016 at 9:00am — No Comments

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…


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…


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…


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…


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

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