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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...
When Milliseconds Count – Using AI to Buy Advertising
What changes in your analytics and Big Data stack would you have to make if you only had 10 milliseconds to make a decision? There’s an...
The 7 Myths of AI - By Robin Bordoli
If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream...
Has Deep Learning Made Traditional Machine Learning Irrelevant?
Summary: The data science press is so dominated by articles on AI and Deep Learning that it has led some folks to wonder whether Deep...
Real World Predictive Analytics - BA Marathon
Join us in this session to explore how predictive analytics is being used in the real world. We will look at generic use cases such as...
Can computers think? An epistemology for Artificial Intelligence
As AI enters our homes through smart home devices or tries to conquer our streets through self-driving cars, one need not be a Luddite to...
4 Ways to Leverage Artificial Intelligence in Your Small Business Today
If you haven’t started using artificial intelligence in your business, you’re falling behind on the curve. Many business owners today are...
Twelve types of Artificial Intelligence (AI) problems
In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should you use Artificial...
Podcast: Analytics in Financial Services (Ricardo Olivares)
This time we talked with Ricardo Olivares, Analytics Professional (expert in financial services). Ricardo, MBA in General Administration,...
Difference Between Data Scientists, Data Engineers, and Software Engineers - According To LinkedIn
The differences between Data Scientists, Data Engineers, and Software engineers can get a little confusing at times. Thus, here is a...
Artificial General Intelligence – The Holy Grail of AI
Artificial General Intelligence (AGI) is the long sought after ‘brain’ that brings together all the branches of AI into a general purpose...
Deep Learning: Comparison with Machine Learning
Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing...
How to think like a data scientist to become one
I tried to really think it through and I reflected on my personal experience – how did I get here? How did I become a data scientist? Am...
Inside Deep Dreams: How Google Made Its Computers Go Crazy
Why the neural net project creating wild visions has meaning for art, science, philosophy — and our view of reality I gripped the desk...
The Data Science Behind AI
For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview...
Podcast: Cortana Intelligences Suites (Ruben Morales)
In this episode Rubén Morales, Advance Analytics Black Belt TSP LATAM at Microsoft, talks about Cortana Intelligence Suite. Rubén tells...
The Mathematics of Machine Learning
In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and...
Video: The good news of the decade? We're winning the war against child mortality
Hans Rosling reframes 10 years of UN data with his spectacular visuals, lighting up an astonishing — and under-reported — piece of...
Video: The magic washing machine
What was the greatest invention of the industrial revolution? Hans Rosling makes the case for the washing machine. With newly designed...
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