Q Ethan McCallum - Expert in Advanced Analytics, tells us how advanced analytics impact and are impacting how we do business today. The way

In this episode Rubén Morales, Advance Analytics Black Belt TSP LATAM at Microsoft, talks about Cortana Intelligence Suite. Rubén tells us how our world is getting smaller, the distances have shortened, and in Latin America we are not that far from the other nations in the computer industry. We hope you like it. To learn more about Cortana Intellingence Suite: https://www.microsoft.com/en-us/cloud-platform/cortana-intelligence-suite Rubén Morales: https://www.linkedin.com/in/

From videoconferencing to smartphones, colleges turn to technology to engage prospective students. When the COVID-19 pandemic hit this spring, Western Connecticut State University lost one of its most vital recruiti ng tools: on-campus visits that allow prospective students and parents to explore and get a feel for student life. WCSU isn’t alone. COVID-19 has upended higher education, forcing classroom instruction to go fully online or to a hybrid blend of in-class and online

Over the last couple of weeks, I started thinking about how the push to move classes online, as a response to COVID-19, might impact Higher

Here are "Data Science" Ivy League courses you can take online right now for free

Here are "Mathematics" Ivy League courses you can take online right now for free

“What’s the use of learning the mathematics behind machine learning algorithms? We can easily use the widely available libraries available i

According to Wikipedia, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron that receives a signal then processes it and can signal neurons connected to it. In ANN implementations, the "signal" at a connection is a real number, and the output of each neuron is computed b

The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. I am not sure whether these topics below are even discussed in data camps or college classes. One of the issue is the way teachers are recruited. The recruitment process favors individuals famous for their academic achievements, or for their "star" status, and they tend to teach the same thing over and over, for decades

The world will look at Europe as a game changer twice within the next month: first on May 25 then again on June 14. The latter date marks the start of the World Cup where Germany is tipped to be the first team in nearly 50 years to repeat as champions, and 6 of the top 8 favourites are European countries. May 25 represents the application date of the General Data Protection Regulation (GDPR), which will institute a host of new rules and requirements to raise the standard of h

Steve Ballmer the multibillionaire former CEO of Microsoft could very justifiably purchase a beach mansion in the Bahamas, erect a hammock and not have to lift a finger for the rest of his life. But there is more on the mind of Ballmer, and that’s why he has chosen to write $10 million worth of personal cheques to USAfacts.org. A website which aims to provide accurate, accessible USA governmental data for everyone. It is a user friendly site which provides a wide range of sta

A pretty common need for content-driven websites is to know how well their long-form text content engages visitors. Content is the lifeblood of their value proposition, and provides the pageviews and return visits that justify investments from advertisers. This got me thinking about ways to use Google Analytics to measure this in a more accurate way than currently exists. Right now, content marketers are stuck with the rather crude "time on page", "time on site", and "pages p

“It is hard to teach an old dog new tricks. They’ve only been in business for 155 years.” – Anonymous The Pullman Co (1867), Allied Corp (1920), Heinz (1869), Hughes Tool (1908), Ford Aerospace (1956), Motorola (1928), Bethlehem Steel (1857), Ralston Purina (1894), Compaq (1982), E.F. Hutton (1904), PaineWebber (1880), MCI (1983), Eastern Airlines (1926) and Pan Am Airlines (1927), Houston Natural Gas / Enron (1940), Arthur Andersen (1913), Woolworth's (1879), Standard Oil

Over the decades, oil and gas companies have built their core skills in many areas such as engineering innovation, project execution, process management, risk management etc. These core capabilities have been traditionally serving as the key value levers for companies in this sector. As benefits from these levers reach plateau, along with pressure from oil price, policy risks, political risks etc, these companies are looking at fortifying these levers with big data analytics

Summary: Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations. We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen. If you’re a CEO or any other flavor of top executive leading a large company (or if you’re a data scientists trying to help one) then the mission to create continuous improvement is obvious. Ultimately you probably thi

Implementing a learning analytics system across all higher education institutions in Wales provides a model for the opportunities for such services at a national scale. Credit: Positiffy / Shutterstock.com © 2019 In August 2018, the world's first national learning analytics service was launched in the UK. The service is offered by Jisc, provider of networking and IT services for UK education and research, and is available to all universities and colleges across England, Scotl

You may have figured out already that statistics isn't exactly a science. Lots of terms are open to interpretation, and sometimes there are many words that mean the same thing—like "mean" and "average"—or sound like they should mean the same thing, like significance level and confidence level. Although they sound very similar, significance level and confidence level are in fact two completely different concepts. Confidence levels and confidence intervals also sound like they

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 (AML) since it first appeared in the market about two years ago. I wrote an article on all five of the market entrants I could find at the time under th

This time we talked with Ricardo Olivares, Analytics Professional (expert in financial services). Ricardo, MBA in General Administration, has developed several models and research based on Data. Ricardo tells us how the market in advanced analytics has been evolving by leaps and bounds. And in Financial Services, the algorithms used are increasingly complex and specialized. We hope you enjoy it. If you have 15 minutes, listen to his complete interview here or through ITunes.

This time we talked with David Lampon, Data Scientist at CAD Salud (expert in analytics). David is the founder of one of the first advanced analytical companies in mexico. Master in Data Science, tells us how it is now a little easier to land applications in data science. We hope you enjoy it. David Lampon: https://www.linkedin.com/in/jdlampon/?ppe=1 If you have 15 minutes, listen to his complete interview here or through ITunes. #predictive #analytics #bigdata #podcast #data