Homepage of Armando Vieira

Data Scientist, Entrepreneur and Speaker

15
SEP
2016

Chief Data Scientist Forum – conclusions

I was recently invited to speak at Chief Data Scientist Forum. (See my presentation here). It was a very interesting event to discuss implementation of Data Science into organizations. Data Science brings huge opportunities, but making it work in established organizations is far...
30
NOV
2015

Digging for gold: how machine learning can disrupt the IT talent acquisition market

Talent acquisition and retention is the single most determinant factor of success in IT companies. It’s also the most cumbersome, unreliable and stupid process I ever experienced. Being on both sides of the fence, I got astonished by the lack of preparation of candidates applying...
09
JAN
2015

Is Deep Learning capable to solve the AI puzzle?

Deep Learning is the buzz word of the moment. But can it revolutionize artificial intelligence as some suggests? There is good reason to be excited about deep learning, a sophisticated “machine learning” algorithm that far exceeds many of its predecessors in its abilities to...
06
JAN
2015

Machine Learning for business is much more than number crunching

“We have build a marvelous model using Deep Learning!”. Sure, but what does it means when heading for production?  Does the data is as clean at it should? Is it available? At what cost? What are legal and privacy implications? How will customers react? Will decisions...
12
SEP
2014

The Business side of Deep Learning

I’m very happy that any area of machine learning (aka, statistical inference and decision-making) is beginning to make impact on real-world problems. I’m also overall happy with the rebranding associated with the usage of the term “deep learning” instead...
25
DEC
2013

Big data culture: It’s Not Just About Numbers

Today’s conversational buzz around big data analytics tends to hover around three general themes: technology, techniques, and the imagined future of a society in which big data plays a significant role in everyday life. Typically missing from the buzz are in-depth discussions...
14
AUG
2013

Visualizing the stock market

I played around several unsupervised learning techniques to extract the stock market structure from variations in historical quotes. The quantity that we use is the daily variation in quote price: quotes that are linked tend to cofluctuate during a day. We use sparse inverse...
10
MAY
2013

Data, Data, Data everywhere

How will we ever make sense of scientific topics that are too big to know? The short answer: by transforming what it means to know something scientifically. Scientific knowledge is taking on properties of its new medium, becoming like the network in which it lives. There are...
27
JAN
2013

Dados e “big data”. Um revolução antecipada

A forma como a sua empresa olhar para a análise de dados será um dos maiores indicadores da saúde de seu negócio. Porquê? Porque a “data revolution” está aí para ficar. Alguns sectores de actividade têm uma relação natural com grandes bases de dados: Banca de...
09
JAN
2013

Too big to know

From the author of the Cultrain Manisfesto, an interesting reflection on new paradigms of data gathering and information retrival.
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