Data science is neither magic nor rocket science, it does not create or invent any new information or facts. Data science helps us to make some sense of what’s already in front of us hidden in our data. Machine learning and its algorithms are either supervised or unsupervised as of today but the future really lies in reinforcement learning.
Supervised vs Unsupervised Machine Learning – Both of them are very popular machine learning algorithms currently in use. Supervised learning is all about labelled data where its algorithm does reverse engineering work as compared to traditional programs i.e it predicts/maps the output to the input data. Unsupervised is all about […]
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 […]