Featured Blog Posts – April 2018 Archive (75)

Weekly Digest, April 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.

  • The market for business analysts is expected to grow to $203 billion by 2020. The demand for data analysts is outpacing the supply of available workers.…

Added by Vincent Granville on April 7, 2018 at 8:00pm — No Comments

Book: Artificial Intelligence with Python

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you

About This Book

  • Step into the amazing world of intelligent apps using this comprehensive guide
  • Enter the world of Artificial Intelligence, explore it, and create your own applications
  • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in…

Added by Capri Granville on April 6, 2018 at 5:30pm — 1 Comment

Naive Bayes Classification in R (Part 1)

This article was written by S. Richter-Walsh. S. Richter-Walsh likes to write about environmental science and also enjoy posting interesting data analyses and visualisations.


A very useful machine learning method which, for its simplicity, is incredibly successful in many real world applications is the…


Added by Emmanuelle Rieuf on April 6, 2018 at 5:30pm — No Comments

Time based heatmaps in R

Tutorial Scenario

In this tutorial, we are going to be looking at heatmaps of Seattle 911 calls by various time periods and by type of incident.  This awesome dataset is available as part of the…


Added by Laura Ellis on April 6, 2018 at 12:30pm — No Comments

ETL vs ELT: Considering the Advancement of Data Warehouses

ETL stands for Extract, Transform, Load. It has been a traditional way to manage analytics pipelines for decades. With the advent of modern cloud-based data warehouses, such as BigQuery or Redshift, the traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.

ETL is hard and outdated

ETL arose to solve a problem of…


Added by Luba Belokon on April 6, 2018 at 7:30am — No Comments

Decision-driven before data-driven : A roadmap for data-driven organizations


Some thirty years back, when I started my career as a management-trainee with an Aerospace company; the 18 months long training program included several courses in management.

I still remember the very first class-room session as if it was yesterday. A distinguished-looking retired professor from IIM Calcutta was introduced by the principal of the Staff-college, and as he addressed the class he declared “I am a Jew! …hope none…


Added by RADHA KRISHNA PERA on April 4, 2018 at 10:30am — 1 Comment

Some Reinforcement Learning: The Greedy and Explore-Exploit Algorithms for the Multi-Armed Bandit Framework in Python

In this article the multi-armed bandit framework problem and a few algorithms to solve the problem is going to be discussed. This problem appeared as a lab assignment in the edX course DAT257x: Reinforcement Learning Explained by Microsoft. The problem description is taken from the assignment itself.

The Problem Statement and Some Theory

Given a set of  actions with some unknown reward distributions, …


Added by Sandipan Dey on April 4, 2018 at 9:30am — No Comments

American Community Survey data in R

I met up with an old grad school friend a few weeks back. He's an accomplished professor of demography, basically the statistical study of populations, particularly surrounding births, deaths, and fertility. Where he once traveled extensively to conduct…


Added by steve miller on April 4, 2018 at 7:30am — 4 Comments

Reducing bias and ensuring fairness in data science

Blog post by Henry Hinnefield, Lead Data Scientist at Civis Analytics

"When machine learning models make decisions that affect people’s lives, how can you be sure those decisions are fair?"

In our work at Civis, we build a lot of models. Most…


Added by Civis Analytics on April 3, 2018 at 6:30pm — 1 Comment

Next Generation Automated Machine Learning (AML)

Summary:  Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space.  However, a new European AML platform called Tazi, new in the US, is showing what the next generation of AML will look like.


I’ve been a follower and a fan of Automated Machine Learning…


Added by William Vorhies on April 3, 2018 at 7:30am — No Comments

How Industrial IoT is Influenced by Cognitive Anomaly Detection

There are about 6,000 sensors on an A350 airplane.

The average Airbus flight generates 2.5 petabytes per flight with over 100,000 flights per day!

Industrial Internet of Things, or IIoT, is a massive market.

It includes airplane and car manufacturers, power plants, oil rigs, and assembly lines, all of which contain…


Added by Ronald van Loon on April 3, 2018 at 6:00am — No Comments

Data Translators: Those Who Ensure Analysis Is Not Lost In Rendition

A few days ago, while discussing with colleagues why many organizations were still fumbling at what’s typically called the “last mile” in data science, the conversation veered towards the birthing of a new breed of professionals called ‘Data Translators’.

This class, now increasing in numbers, is being seen in the analytics world as the Darwinian equivalent of…


Added by Hemant Warudkar on April 3, 2018 at 3:30am — No Comments

How an Artificial Intelligence project is helping to make Brazilian politicians more accountable?

Chamber of Deputies is the lower house of National Congress of Brazil. It has 513 congress people, 219 of them max out their monthly spending that can be reimbursed. One congressperson gets 30 gas tanks filled every month. Two congress people have claimed 13 meals paid on the same day. These were identified by an Artificial Intelligence project - Operation Serenata de Amor. The platform has analysed more than 3 million notes and raised about 8000 cases in irregular public…


Added by Samir Madhavan on April 1, 2018 at 10:00pm — No Comments

What is Big Data?

What is big data? That’s a good question. There seem to be as many definitions for big data as there are businesses, nonprofit organizations, government agencies, and individuals who want to benefit from it.

One popular interpretation of big data refers to extremely large datasets. A National Institute of Standards and Technology…


Added by Jayesh Bapu Ahire on April 1, 2018 at 9:00pm — No Comments

Weekly Digest, April 2

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.

  • Earn our online Business Analytics Graduate Certificate in one year. Learn data analytics to support business…


Added by Vincent Granville on April 1, 2018 at 6:30am — No Comments

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