The confusion matrix is an essential component of a data scientist’s “Toolbox”. It helps to identify which model works best for a given problem. This article talks about the concepts...
Machine learning involves a series of techniques that allow computer systems to predict, classify, order, make decisions and, in general, extract knowledge from the data without the need to explicitly...
Machine Learning is the applied science of making computers work without being explicitly programmed. Machine Learning keeps on innovating every aspect of businesses and has been shaping up the future...
Machine learning has emerged as a very popular technology useful in predicting outcomes from data using machine learning algorithms. Machine learning combines computing with neuroscience and consists of the autonomous...
A study by the McKinsey Global Institute suggests that machine learning and artificial intelligence could contribute an additional global economic activity of around $13 trillion by 2030, or about 16%...
Clustering in Machine Learning is a technique that involves the clustering of data points. In any data set, clustering algorithms are used to classify each data point into a specific...
Regression in machine learning is a subfield of supervised machine learning aimed to establish a relationship between different quantitative variables by formulating mathematical equations. Some of the uses are the...
An extension of machine learning, deep learning is all about neural networks, which imitate the way humans think and learn. The presence of trained deep learning experts is expected to...
Deep learning is the technique that comes closest to the way we humans learn. It has become increasingly important in the field of artificial intelligence (AI) and jobs are being...
Machine Learning allows systems to learn without any human intervention and improve their performance. Machine Learning has been helpful to identify patterns in a given data, build self-explanatory models using...