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.
Spot the flaw – visual quality control in manufacturing
Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.
What is the best method of efficiently training machine learning for teams?
The tailored Team Training Tracks (4T) method is a way of teaching data science by working with a specific team on selected real-life projects in a company. It facilitates an effective learning experience for adults addressing an increasing job market need for data scientists.
How to start with machine learning wisely and become a data scientist?
How we teach data science now has many limitations. Universities, bootcamps and online courses have yet to provide an optimal learning experience that answers job market needs. A fourth way is needed.