Supervised Learning Using PyTorch

Supervised machine learning is the most sophisticated branch of machine learning. It is in use in almost all fields, including artificial intelligence, cognitive computing, and language processing. Machine learning literature broadly talks about three types of learning: supervised, unsupervised, and reinforcement learning. In supervised learning, the machine learns to recognize the output; hence, it is task driven and the task can be classification or regression. In unsupervised learning, the machine learns patterns from data; thus, it generalizes a new dataset and the learning happens by taking a set of input features. In reinforcement learning, the learning happens in response to a system that reacts to situations.