Machine Learning

Do you ever wonder how we identify different objects and differentiate between one object and another? That’s a tricky question on its own -now think of how we can help a machine learning model do the same? Machines cannot see as we do. They can only understand the language of numbers. But how can we […]

Machine learning is the latest advancement in the field of computer sciences that uses tech-savvy methodologies to improve business performances. Machine learning algorithms, being relatively new, these techniques are in constant iteration to enhance user-experience. The continuous upgrades and developments not only overwhelm the newbies but makes it challenging for experts to keep up with […]

Gradient boosting is a popular technique among data scientists because of its accuracy and speed, particularly complex and sizeable data. What is Boosting? You must understand boosting basics before learning about gradient boosting. It is a method to transform weak learners into strong ones. In the boosting landscape, every tree fits on the first data […]

Clustering is a powerful machine learning method involving data point grouping. With a set of various data points, data scientists can utilize a clustering algorithm to categorize or classify every data point into a particular group. Theoretically, data points present in the same group contain similar features or properties. On the other hand, data points […]

AI (ML) is the logical investigation of calculations and measurable models that computer systems use to complete a particular task without the need for guidelines. It is viewed as a subset of man-made reasoning. AI calculations assemble a scientific model dependent on test information, known as “preparing information”, so as to settle on expectations or […]

Thanks to consistent advancements in technology, big data allows various fields to derive information and consecutive trends to predict behavior. As we gather more and more data to develop the new field, we require storage to save new data and develop new data with previous records. However, to store the data, IT experts have worked […]

Artificial neural networks are the basics of Artificial intelligence. These networks are similar and based on the neuron network model of our brain. However, the system cannot yet compete with the human brain as we can imagine, inspire, and use common sense that systems can’t. In this article, we will try to understand the concept […]

Machine learning is an artificial intelligence (AI) application that provides systems with the ability to learn and improve automatically from the experience itself without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn by themselves. This learning process begins with observations or data, […]

History of predictive analysis and current progress Although predictive analysis has been around for decades, it is a technology whose time has come. More and more organizations are turning to predictive analysis to increase their profits and competitive advantage. Why now?Data volumes and types are growing, and there is more interest in using data to […]

Transfer learning makes use of the knowledge gained while solving one problem and applying it to a special but related problem. For example, knowledge gained while learning to acknowledge cars are often wont to some extent to acknowledge trucks. Pre-Training When we train the network on an outsized dataset(for example: ImageNet) , we train all […]