As showed in the last post, machine learning is great for pattern recognition. But it’s getting so much powerful that can be used in much more areas than only pattern recognition, such as: Drug Discovery and toxicology Discovering new treatments for human diseases is one of the most complicated tasks […]
Deep Learning Application Areas – Science and Corporate Read More
Since it’s revival in 2006, Deep learning advanced so quick that is used in many aspects of modern society such as: Deep Learning Analytics Companies such Google and Microsoft have access to large volumes of data, social media organisations such as Facebook, YouTube and Twitter have billions of users that
Deep Learning Application Areas – Pattern Recognition Read More
One of the most known and practiced techniques of agile software development is performing iterations. An iteration is a timebox, inside which a team tries to accomplish some goal. At the end of the iteration, the team reviews what it’s produced and what it’s learned. From this, it sets a
Ok, we’re doing iterations: are we agile now? Read More
Analytics are great! Analytics increase organizations profit and enhance our daily life. They help us make better choices, save us time, care about our health and delight us with fantastic discoveries. They are really fun and sexy! But there’s also a dark side for Analytics… Imagine yourself in the shoes
The dark side of Analytics Read More
[vc_row fullwidth=”false” attached=”false” padding=”0″ el_class=”whatsnew”][vc_column width=”1/2″][vc_column_text disable_pattern=”true” align=”left” margin_bottom=”0″]*Integration & API’s powered by António Queiroz* <*BLOG* It’s becoming more and more important for companies to invest in an Integration Platform that can support their most critical asset: Data. Read more… <*BLOG* I did more than attending TIBCO Now ’17 User conference
There are several ways to process and integrate data but due the lack of standards and the heterogeneity of the “things”, a key role is played by the middleware. Middleware is application-independent software that provides services that allow communications between applications. Middleware hides the complexities of the lower layers, like operating
DevOps has become a buzzword over the last few years, meaning the integration of development and operations to remove bottlenecks in the process of implementing ideas as software. Some see this as a “Dev swallowing Ops” movement brought on by the cloud and several tools (like Continuous Integration/Delivery engines, Configuration
DevOps is Devs+Ops, not Devs doing Ops Read More
As seen in the last post, after the event of CNN’s (Convolutional Neural Networks) we step in the second AI Winter, but in 2006 this would change… 2006: Deep Learning Arises In 2006, Hinton, Simon Osindero and Yee-Whye Teh published a paper where they solved the vanishing or exploding gradient problem. In
A Deep Learning history walk through – Deep Learning Arises Read More
Deep Learning is one the last iterations on the evolution of Machine Learning. One evolution that started with something as simple as Linear Regression, and despite all the difficulties and winters that grassed for, it has been an area whose advances have generated a tsunami that has waves that reached
A Deep Learning’s history walk through Read More
The 2017 TIBCO NOW Conference (held at Estrel Hotel in Berlin, Germany) included a big agenda on numerous topics and had several side events like the breakout sessions and Hand-On-Labs workshops. Most of them were focused on a certain TIBCO product or a customer presentation on their use case of
Polarising at TIBCO NOW 2017 Read More