Machine Learning Machine learning is a tool for turning information into knowledge.   Machine learning techniques are used to automatically find the valuable underlying patterns within complex data that   we would otherwise struggle to discover. The hidden patterns and knowledge about   a   problem   can be used to predict future events and perform all kinds of complex decision making. Tom Mitchell gave a “well-posed” mathematical   and relational definition that   “A computer program its performance on T, as measured by   P, improves with experience   E”. Types of Machine Learning:- 1)       Supervised   Learning: -   Supervised Learning is the one, where you can consider the learning is guided by a teacher. We have a dataset which acts as a teacher and its role is to train the model or the machine. Once the model gets trained it can start making a prediction or decision when new data is given to it. 2)        Unsupervised Learning:-   The model learns through observation