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January 2017 Blog Posts (94)

Improving Prediction of Office Room Occupancy Through Random Sampling

Introduction:

In many cases, you may think that you have a Big Data problem, when in reality you just have a lot of data that a simple sampling can result in great accuracy.  In todays blog, I decided to use office room occupancy dataset provided by"Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M.…
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Added by Dalila on January 12, 2017 at 9:00am — 1 Comment

Notable Fundraising Highlights of Machine Learning Startups in 2016

2016 has been a prolific year for Machine Learning/AI companies in all fronts. In this post I have tried to capture some notable funding rounds and acquisitions of Machine Learning (ML) startups that took place last year. Admittedly there are too many of these events and I have probably missed some, but I am reasonably certain that I have covered a good chunk of them. Before jumping to the table below, I would like to cover some general themes first:

1.             Companies involved…

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Added by Al Gharakhanian on January 11, 2017 at 7:40pm — No Comments

46 SQL Job Interview Questions for Data Scientists

This article was posted by Ankit Gupta.  

Introduction: 

If there is one language, every data science professional should know – it is SQL. SQL stands for Structured Query Language. It is a programming language used to access data from relational databases.

We conducted a skilltest to test our community on SQL and it gave 2017 a kicking start. A total of 1666 participants registered for the skilltest.

This test…

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Added by Emmanuelle Rieuf on January 11, 2017 at 11:30am — 6 Comments

Top 10 AI events of 2016

This could a little late given that we have already embarked upon a new year. But it could be worthwhile looking back for a moment...

2016 was definitely the year of AI in the recent technology timeline. If that’s a little far fetched, considering the wide use of drones, advances in VR/AR and blockchain, that’s because of the ‘bias’ (read enthusiasm) in my neurons. I haven’t been for long in this field but after Deepmind’s paper a few years back, this year was…

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Added by Anurag Priyadarshi on January 11, 2017 at 4:00am — No Comments

How To Create A 360-Degree Customer View Using Data

How valuable would it be to know everything about your customer’s interactions with your competition? Creating a 360-degree customer view is considered the holy grail of customer intelligence, and you can create it, today.

Would you like to know how much they’re spending, when they’re spending, why they’re buying with the competition and not you, what…

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Added by Mark Ross-Smith on January 11, 2017 at 3:31am — No Comments

Understanding and Selecting Recommenders

Summary:  In this multi-part series we walk through the full landscape of Recommenders.  In this article we cover business considerations as well as issues for Recommenders as a group.  In the next articles we’ll discuss the details of the five major types of recommenders, improving their performance, and finally the coming impact of deep learning on Recommenders.

 …

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Added by William Vorhies on January 10, 2017 at 9:00am — 4 Comments

18 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. 

18 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on January 9, 2017 at 4:38pm — No Comments

Building a Deep Learning Model for Process Optimisation

1.       Abstract

The objective of this paper is to present the process of building a Deep Learning Model for optimising the output for a Production Process from a Training sample using Weka Multilayer Perceptron. The scope is limited to implementation only and does not cover the theory behind Artificial Neural Networks. The Genetic Algorithm is specifically developed and adapted for the kind of data involved and is dealt with in…

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Added by Sankaran Iyer on January 9, 2017 at 4:30pm — 1 Comment

What I Always Wanted To Know About Big Data* (*but was afraid to ask)

When I first heard the term Big Data few years ago, I didn’t think much of it. Soon after, Big Data started appearing in many of my conversations with many of my tech friends. So I started asking a very simple question 'What is Big Data?'. I kept asking that question to various folks and I did not get the same answer twice from any number of people. ‘Oh, it’s lot of data’. ‘It’s variety of data’. ‘It’s how fast the data is piling up’. Really? I thought to myself but was…

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Added by Ramesh Dontha on January 9, 2017 at 1:00pm — 2 Comments

Ten Simple Rules for Effective Statistical Practice

By Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, Reid N. Originally posted here

Introduction

Several months ago, Phil Bourne, the initiator and frequent author of the wildly successful and incredibly useful “Ten Simple Rules” series, suggested that some statisticians put together a Ten Simple Rules article…

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Added by Vincent Granville on January 9, 2017 at 7:00am — 1 Comment

Is your New Year’s Resolution to Improve your CRM Data?

We all set New Year’s Resolutions. Unfortunately, research suggests that 63% of us break them within just one month. However, if there is one New Year’s Resolution that you must stick to, it is surely to improve the quality of your business data.

According to Gartner more than 75% of companies…

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Added by Martin Doyle on January 9, 2017 at 5:00am — No Comments

Predictive Talent Acquisition Strategy

This article has been contributed by Carla Gentry .She is the Data Scientist at Talent Analytics, Corp. Full title: Can Pre-hire Talent Assessments Be a Part of a Predictive Talent Acquisition Strategy?

Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates.  Increasingly, businesses are asking how (or if) a predictive talent…

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Added by Shay Pal on January 8, 2017 at 11:00am — 1 Comment

Big Data: From Buzz Word To Business Benefits

This article has been contributed by Chris Landry . He is the  Managing Director of Colourfast

Big data analytics is long thought to be a game changer. Many of us will have read a plethora of articles online, outlining how it will revolutionize companies, and drastically improve their efficiency.

A study by the Business Application Research Center analyzed how companies around the world are utilizing big…

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Added by Shay Pal on January 8, 2017 at 11:00am — No Comments

Weekly Digest, January 9

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.

Announcements…

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Added by Vincent Granville on January 7, 2017 at 1:00pm — No Comments

Book: Python Data Science Handbook

Jupyter notebook content for my OReilly book, the Python Data Science Handbook.

This repository contains the full listing of IPython notebooks used to create the book, including all text and code. The code was written and tested with Python 3.5, though most (but not all) snippets will work correctly in Python 2.7.

See also the free companion project, …

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Added by Emmanuelle Rieuf on January 7, 2017 at 10:00am — 1 Comment

Gaining the Context from the Deconstruction of Metrics

I find myself habitually using the term "metrics." When I first started blogging, I normally used this term only in reference to performance metrics. These are not ordinary "readings" but rather criteria-driven amounts - the criteria being performance. Over the years I have come to recognize that data-gathering is normally premised on some type of criteria. When compiling revenue data, it should be noted that analysts are seeking out data pertaining to revenues. The quest is predefined. The…

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Added by Don Philip Faithful on January 7, 2017 at 7:02am — No Comments

5 Simple Ways Hotels Can Use Data To Increase Revenue

In 2017, it’s clear that the hospitality industry needs to prepare for even more disruptions that will unfold over the coming year. Airbnb, OTAs, start-ups, big data companies and loyalty program changes will remain the focal points to stay across this year.

As a hotel digital or revenue manager, you could get caught up in the hype, continue…

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Added by Mark Ross-Smith on January 6, 2017 at 9:30pm — No Comments

The Cleanliness of NYC Craft Beer Bar Kitchens

Food, Drink, & Open Data

One of the most natural things to offer alongside craft beer is food. On an Epicurean level beer pairs well with about any dish out there and there are few things more adept at creating a convivial atmosphere than drinking and eating.…



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Added by Reginald Eps on January 6, 2017 at 4:11am — No Comments

Thursday News: Data Science, AI, IoT, Deep Learning, Statistics, ML

Here is our selection of featured articles and resources posted since Monday. This is our first "Thursday News" of the year, and the quality of the articles submitted and accepted was especially high.

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Added by Vincent Granville on January 5, 2017 at 9:00am — No Comments

Twelve types of Artificial Intelligence (AI) problems

Background – How many cats does it take to identify a Cat?

In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should you use Artificial Intelligence (AI)?  We cover this space in the  Enterprise AI course

Some background:

Recently, I conducted a strategy workshop for a group…

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Added by ajit jaokar on January 5, 2017 at 7:00am — 1 Comment

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