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April 2017 Blog Posts (92)

The applications of Artificial Intelligence (AI) in the Telecoms industry

Background

Last week, I spoke at the Swiss Mobile Association. The event was held at one of the oldest  cross-functional research institutes Gottlieb Duttweiler Institute just outside Zurich. Prior to being involved in IoT and AI, I worked for many…

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Added by ajit jaokar on April 16, 2017 at 12:00pm — No Comments

Seasons in Binary Star Planetary Systems

Here are a few challenges for the mathematically inclined - most data scientists are. This is just fun problems if you have some time to kill. The first problem is about seasons in binary star planetary systems: it has implications on whether such planets are inhabitable. It is also related to time series with double periodicity.  The next problems are related to infinite products, with an emphasis on building a prime-generating or at least prime-detection function. Large prime numbers are…

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Added by Vincent Granville on April 16, 2017 at 11:00am — No Comments

A to Z of Analytics

Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry.

Today everybody is generating tons of data – we as consumers leaving digital footprints on social media,IoT generating millions of records from sensors, Mobile phones are used from morning till we sleep. All these variety of…

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Added by Sandeep Raut on April 15, 2017 at 6:30pm — 5 Comments

Ranking All 50 States by Average Credit Score of its Citizens

This article was contributed by Statistical Future.

Whether you want it to or not, credit and its availability plays a major role in everyone’s life, whether or not you directly experience it. For the average person, credit scores are mainly going to be used for three things: buying a house, buying a car, and using credit cards.

In the world of business, things get exponentially more complicated and it also ended up leading to a horrible housing crash and recession…

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Added by Emmanuelle Rieuf on April 15, 2017 at 9:30am — 1 Comment

Weekly Digest, April 17

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.

Announcement

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Added by Vincent Granville on April 15, 2017 at 7:30am — No Comments

Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

I will use {ordinal} clm() (and other cool R packages such as…

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Added by Goran S. Milovanović on April 14, 2017 at 11:00pm — No Comments

How Python & Tableau made an easy Data Analysis of Padma Shri Awards

Padma Shri (also Padmashree) is the fourth highest civilian award in the Republic of India, after the Bharat Ratna, the Padma Vibhushan and the Padma Bhushan. Awarded by the Government of India, it is announced every year on India’s Republic Day.

The first time you open up the wikipedia page it’s hard to relate just looking at the HTML Tables that which state has bagged the maximum no. of awards and which…

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Added by Vinay Babu on April 14, 2017 at 6:30pm — 2 Comments

19 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. 

19 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on April 14, 2017 at 8:00am — No Comments

Customer Churn – Logistic Regression with R

Overview

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important…

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Added by Raghavan Madabusi on April 13, 2017 at 6:00pm — 7 Comments

Thursday News: IoT, AI, Spark, Cheat Sheets, Machine Learning, Stats

Here is our selection of featured articles and resources posted since Monday:

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Added by Vincent Granville on April 13, 2017 at 8:56am — No Comments

R and Python cheatsheets

I developed R and Python cheatsheets last year. The advanced R version is posted on RStudio Inc. website.

Below links you can find these cheatsheets: 

For original article, click here

Added by Sean Chen on April 13, 2017 at 8:30am — 3 Comments

Understanding Machine Learning: How machines learn?

“If (there) was one thing all people took for granted, (it) was conviction that if you feed honest figures into a computer, honest figures (will) come out. Never doubted it myself till I met a computer with a sense of humor.”

― Robert A. Heinlein, The Moon is a Harsh Mistress

 

This post is the first in a series of articles in which we will explain what Machine Learning is. You don’t have to have formal training or…

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Added by Algolytics on April 13, 2017 at 4:00am — 3 Comments

Churn in a hotel booking site

Someone said customer churn?

Nowadays everyone knows what is customer churn and how to predict and how to handle it. Even the junior data scientists have worked on a part of it (at least). Seniors have already created a prediction model to predict that a customer is going to leave or not.

But is that really simple? The answer is NO of…

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Added by Emre YAZICI on April 13, 2017 at 2:00am — No Comments

How to Become an Omni-Channel Data-Driven Retailer



In today’s digital age where customers are as likely to buy a product from an eCommerce website as from a brick and mortar store, delivering a seamless and value-adding shopping experience has become more important than ever before. The multiple shopping channels available to customers and the competition posed by other retailers have made…

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Added by Ronald van Loon on April 12, 2017 at 11:30am — 1 Comment

Text Normalization with Spark – Part 2

Overview

This is second in a two part series that talks about Text Normalization using Spark.In this blog post, we are going to understand the jargon (jobs,stags and executors) of Apache Spark with Text Normalization application using Spark history server UI. 

Spark History Server UI

Web UI (aka Application UI or webUI or Spark UI) is the web interface of a running Spark application to…

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Added by Raghavan Madabusi on April 12, 2017 at 12:30am — No Comments

Autonomous Cars: See how future cars will have the mind of their own

Here is a blog post featuring a great article of Autonomous cars. Its written by Karen Smith at Goatsofftheroad.

Autonomous cars are on the urge of transforming future of automobile industry. Autonomous cars are self-driving cars with having features like tracking the position of large objects at long range, detecting the edge of the road and lane markings and detect the nearby vehicles while parking with the help of radars and ultrasonic sensors. Radars play a vital…

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Added by Shay Pal on April 11, 2017 at 12:44pm — No Comments

How Machine Learning is Revolutionizing Digital Enterprises

According to the prediction of IDC Futurescapes,  Two-thirds of Global 2000 Enterprises CEOs will center their corporate strategy on digital transformation. A major part of the strategy should include machine-learning (ML) solutions. The implementation of these solutions could change how these enterprises view customer value and internal…

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Added by Ronald van Loon on April 11, 2017 at 2:00am — 1 Comment

Business Intelligence tool strategical advantages

Business Intelligence (BI) software is a valuable investment. May be you are thinking: “Why we have requirement of Business Intelligence?”

To prove this expenditure, Data scientist & decision makers necessity to look at big picture benefit.…

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Added by Priyanka Jain on April 11, 2017 at 1:30am — No Comments

Government Stats Are Ready for Change

Here is a fantastic book review by Ian White . 

Ian is an entrepreneurial product leader with 20 years experience spanning product management and business strategy at the intersection of data science, geospatial software, business intelligence and data acquisition. He has 10 years experience as startup founder and deep expertise geo/mapping, hyperlocal…

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Added by Shay Pal on April 10, 2017 at 3:00pm — No Comments

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