Three reasons why data analysts make the perfect data scientists
Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.
Building a Matrix with reinforcement learning and artificial imagination
Child’s mind is able to create fantastic worlds in seconds. So what would happen if robots had an artificial imagination?
Online course vs. instructor-led training – how to develop your team’s new skills?
Advantages of online courses are tempting to send your team to any of the popular e-learning platforms to pick up the new skills they need. An important question, then, is are online courses superior to instructor-led training?
When predictive analytics in football fall short (an example)
German team – the one Goldman Sachs picked with predictive analytics as the probable world champ – failed to get out of its group for the first time in 80 years.
What is reinforcement learning? The complete guide
Although machine learning is seen as a monolith, this cutting-edge technology is diversified, with various sub-types including machine learning, deep learning, and the state-of-the-art technology of deep reinforcement learning.
Keras or PyTorch as your first deep learning framework
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Learning to run – an example of reinforcement learning
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.
Playing Atari with deep reinforcement learning – deepsense.ai’s approach
From countering an invasion of aliens to demolishing a wall with a ball – AI outperforms humans after just 20 minutes of training.
Five hottest big data trends 2018 for the techies
Currently, the world is producing 16.3 zettabytes of data a year. According to IDC, by 2025 that amount will rise tenfold, to 163 zettabytes a year. But how big, exactly, is a zetta?
Five trends for business to surf the big data wave
According to IDC analysis, 16,3 zettabytes of data were created worldwide in 2017. Such volume shows why keeping an eye on big data business trends is so crucial.