50 Important Things You Need to Know About Data Science
According to IBM, the world generates 2.5 quintillion bytes of data every day. A decent chunk of those quintillion bytes is made up of...
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A Robot Took My Job – Was It a Robot or AI?
Summary: The argument in the popular press about robots taking our jobs fails in the most fundamental way to differentiate between...
How can organizations successfully convert big data into real-world decisions?
The word wide web is turning into a colossal heap of data that is being stored at hundreds and thousands of datacenters across the world....
How to Lie with Data
We expect that data scientists and analysts should be objective and base their conclusions on data. Now while the name of the job implies...
Machine Learning vs. Traditional Statistics: Different philosophies, Different Approaches
"Machine Learning (ML)" and "Traditional Statistics(TS)" have different philosophies in their approaches. With "Data Science" in the...
Tips for Reducing Fraud and Bolstering Customer Data Security
Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because...
AI Saves the Elephants, Sharks, Frogs, Sea Birds and Everything Else
Summary: As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of...
Environment: China deploys big data to clear smog
China's Ministry of Environmental Protection is tackling the country's severe air-pollution problems by using a holistic approach to the...
How Google is using big data to protect the environment
Google’s sustainability officer Kate Brandt outlines the company’s wide-range interest in sustainable fishing, green buildings and...
5 Ways Big Data Can Protect Our Planet
One thing is certain — Big Data can protect our plant and thus has a key role to play in environmental preservation. At a time when the phra
Women In Machine Learning and Artificial Intelligence
The number of women in computing is low and it looks like the number of women in Machine Learning and Artificial Intelligence is even lower.
Smart Billing - Higher Education
This Data Science solution supports the Financial Support team as well as the Scholarships division on answering the question on what...
Student Recruitment Optimization - Higher Education
Maximize the odds of student success through data-science-generated target segments. If you want to know more about this solution click...
Student Commitment Index - Higher Education
A cloud-ready solution that calculates a student index that allows professors and academic groups to manage a closer and personalized...
Student Attrition -Predictive Model - Higher Education
Through the use of different machine learning algorithms, our predictive analytics solution provides an attrition risk score to every...
Fundamentals of Advanced Analytics - Higher Education
Learn about advanced analytics and their difference with Business Intelligence. Know what kind of questions are answered in the use cases...
Factoring Massive Numbers: Machine Learning Approach - Why and How
We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms...
Machine Learning Summarized in One Picture
Here is a nice summary of traditional machine learning methods, from Mathworks. I also decided to add the following picture below, as it...
NEXT Machine Learning Paradigm: “DYNAMICAL" ML
Continuous learning using DYNAMICAL machine learning is ready for implementation today; it adds the following FOUR benefits: 1. ...
Hablemos de Tecnología: Self Service BI with Microsoft Power BI
In this video we talk about: - How PowerBI transforms your company data into dynamic visual indicators with tools that allow you to...
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