Machine Learning (ML) is often thought to be either Supervised (learning from labeled data) or Unsupervised (finding patterns in raw data). A less talked about area of ML is Reinforcement Learning ...

Learn More Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when ...

The design of machine-learning systems used to this day is based on the human brain model described by Donald Hebb in 1949 in his book "The ... they fire separately. Reinforcement learning is ...

The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a ...