Deloitte estimates that in 2021 enterprise spending on artificial intelligence and machine learning projects will reach 57 billion dollars
For companies seeking ways to test AI-driven solutions in a safe environment, running a competition for data scientists is a great and affordable way to go – when it’s done properly. According to a McKinsey report, only 20% of companies consider themselves adopters of AI technology while 41% remain uncertain about the benefits that AI […]
Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.
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?
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.
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 and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Software that understands muscle-controlled limb movement would be able to translate neural signals into instructions for automated arms or legs.
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?
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.