Backpropagation Algorithm – An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole idea of training multi-layer perceptrons is to compute the derivatives of the error function or gradient descent with respect […]
Another problem learners encounter or build wrong perception at beginning of learning stage is type of regressions. Often learners struggle to differentiate between the only regression method and the most useful or popular recession algorithms
Training Data – There is a famous punch line about Data. “Data is not good enough if it’s not a quality data”. If your data model is not working or performing as expected blame your data and data source. Instead of struggling to find an opportunity for performance […]
Machine Learning (ML) – It is the hottest subject of today’s time. DataScientist is the sexiest job of today but the implementation of these buzz words in real business is missing big time. The real need is to clarify, demonstrate, extract real values and reap rewards. “Machine Learning” sounds […]
Reinforcement Learning (RL) – A more general form of machine learning than supervised learning or unsupervised learning. It learns from interaction with the environment to achieve a goal or simply learns from reward and punishments. This learning is inspired by behaviourism phycology. Reinforcement Learning (RL) – History From the best research, I got […]