March 2019 Blog Posts (95)

Top 8 Data Science Use Cases in Gaming

The gaming industry is on its rise nowadays. With more than 2 billion players all over the world gaming industry is a resource of enormous revenues and…


Added by Igor Bobriakov on March 31, 2019 at 10:00pm — No Comments

Topic detection

Introduction to topic model:

In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body. 

In topic modeling, a topic is defined by a cluster of words with each word in the cluster having a probability of occurrence for the given topic, …


Added by fatma gadelrab on March 31, 2019 at 10:06am — No Comments

Data Science Central Weekly Digest, April 1

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. To subscribe, follow this link.  

Featured Resources and Technical…


Added by Vincent Granville on March 31, 2019 at 9:00am — No Comments

The significance of Interaction Plots in Statistics

Interaction plots are used to understand the behavior of one variable depends on the value of another variable. Interaction effects are analyzed in regression analysis, DOE (Design of Experiments) and ANOVA (Analysis of variance).

This blog will help you to understand the interaction plots and its effects, how to interpret them in statistical designs, and the problems you will face if you don't include them in your statistical models. In any statistical study, whether it's a product…


Added by Suresh on March 29, 2019 at 8:30pm — No Comments

Educating for AI – one of the most critical problems in AI



One of the hardest problem in AI is not technical


It is social


Specifically, it is the problem of “educating people for living and working in a world dominated by AI”


This blog is based on my talk and notes in panels at the…


Added by ajit jaokar on March 29, 2019 at 2:16pm — 3 Comments

Using the Digital Transformation Journey Workbook to Deliver “Smart” Spaces

Key points of this blog include:

  • Digital Transformation sweeps aside traditional industry borders to create new sources of customer and operational value
  • Unfortunately, Digital Transformation and “smart” initiatives are struggling, and organizations will need a more pragmatic approach to successful execution per Forrester research
  • Organizations must define their “smart” initiatives from perspective of stakeholder…

Added by Bill Schmarzo on March 29, 2019 at 10:43am — No Comments

Kafka Monitoring with Prometheus, Telegraf, and Grafana

Kafka monitoring is an important and widespread operation which is used for the optimization of the Kafka deployment. This process may be smooth and efficient for you by applying one of the existing monitoring solutions instead of building your own. Let’s say, we use solution with Apache Kafka for message transfer and…


Added by Igor Bobriakov on March 29, 2019 at 6:00am — No Comments

A Healthcare Problem in Need of a Data Analytics Solution

A recent visit to a local hospital provided some insight on a particular problem in health care. After speaking to a few healthcare professionals, it was revealed that patients who have surgery are at a significantly higher risk at developing a Pulmonary Embolism (PE) as a result of a Deep Vein Thrombosis (DVT) or blood clot. Clots are also referred to as a thrombus. However, once a clot begins to travel it is called…


Added by Richard Charles, PhD on March 28, 2019 at 8:00pm — No Comments

Data Science Central Thursday Digest, March 28

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



Added by Vincent Granville on March 28, 2019 at 11:30am — No Comments

Advanced cross-validation tips for time series

This article was written by Datapred.


In a previous post, we explained the concept of cross-validation for time series, aka backtesting, and why proper backtests matter for time series modeling.

The goal here is to dig deeper and discuss a few coding tips that will help you cross-validate your predictive models correctly.…


Added by Andrea Manero-Bastin on March 28, 2019 at 10:04am — No Comments

Why Is It Time for Your Company to Invest in Cloud ERP?

Businesses need to effectively manage and plan their day-to-day activities, business strategies and future planning. To efficiently collect and manage all such…


Added by Samual Alister on March 28, 2019 at 1:30am — No Comments

How TensorFlow is helping in maintaining Road Safety

With increased digitization comes the need for infrastructural stability and safety. That’s where TensorFlow can provide maximum returns, especially in the road safety domain. On-road traffic accidents can be minimized with greater efficiencies in overall traffic management. There is also greater control and oversight when dealing with multiple vehicles across various roads.…


Added by Amit Dua on March 28, 2019 at 12:07am — No Comments

Enhance Employee Productivity

Problem Statement:

World’s leading physical security provider faced critical challenges in managing their workforce and ensuring enhanced productivity.


The key focus of the client’s business is to secure key installations in the cash ecosystem. The client is a prestigious member of the global security community International Security League. It has been providing manpower services, security systems, as well as technology to…


Added by Joy Gnanamony on March 27, 2019 at 7:15pm — No Comments

Ensemble Methods in One Picture

Ensemble methods take several machine learning techniques and combine them into one predictive model. It is a two step process: 

  1. Generate the Base Learners: Choose any combination of base learners, based on accuracy and diversity. Each base learner can produce more than one predictive model, if you change variables such as case weights, guidance parameters, or input space partitions.
  2. Combine Estimates from the Base…

Added by Stephanie Glen on March 27, 2019 at 3:30pm — No Comments

Choosing from Popular Python Web Frameworks

This article delves in some of the widespread Python web frameworks and what makes them popular today.

Python is one of the most popular and versatile programming languages. There are thousands of Python packages, and these allow you to extend Python capabilities to any domain,be it web development, Internet of Things (IoT), artificial intelligence, or machine learning, and scientific computing. We can work with many different web frameworks and packages to…


Added by Packt Publishing on March 26, 2019 at 9:50pm — No Comments

All About Using Jupyter Notebooks and Google Colab


Interactive notebooks are experiencing a rise in popularity. How do we know? They’re replacing PowerPoint in presentations, shared around organizations, and they’re even taking workload away from BI suites. Today there are many notebooks to choose from …


Added by Divya Singh on March 26, 2019 at 8:59pm — No Comments

How to use anomaly detection to seal revenue leakages due to price errors

Price errors and their impact:

Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…


Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments

IoT – Transforms the world to Smart Planet with Smart Machines

"We are in a brave new world where not only do our children talk back to us, but so do our appliances."  – Mohammed Dastagir


Smart machines to make this world a smart planet was advocated nearly 70 years ago by Alan Turing.  In his 1950 article "Computing Machinery and Intelligence" he has stated as…


Added by Harikrishna on March 26, 2019 at 3:13am — No Comments

SVMs in One Picture

SVMs (Support Vector Machines) are a way to classify data by finding the optimal plane or hyperplane that separates the data. In 2D, the separation is a plane; In higher dimensions, it's a hyperplane. For simplicity, the following picture shows how SVM works for a two-dimensional set.

Click on picture to zoom…


Added by Stephanie Glen on March 25, 2019 at 10:30am — No Comments

Now that We’ve Got AI What do We do with It?

Summary:  Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a need for a much broader framework of strategic thinking around how to capture the value of AI/ML.


There are many articles written from a tools…


Added by William Vorhies on March 25, 2019 at 8:30am — No Comments

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