Tech

Feature extraction in computer vision is the process of identifying important details in an image. These details called features can be edges, corners, textures or specific patterns. Computer images use these details to understand and identify objects. Feature Selection helps reduce the amount of data, keeping the most useful information for functions such as image […]

Back in the 90s when the concept of artificial intelligence was introduced, researchers wanted to create machines that will perform like humans. They decided to attach a camera with a computer to make it explain whatever it caught sight of, calling it computer vision. What is computer vision? Computer vision is a part of computer

When we see how a website changes from one language to another in milliseconds or how self-driving cars work without any driver. These are the products of deep learning and artificial intelligence. What is Deep Learning  It’s a part of machine learning. It uses neural networks also known as multilayered algorithms to perform, recognise patterns

Data mining is the process which converts raw dataset into useful information. Statistical and computational techniques are used to get useful insights from a large amount of dataset.  The mining process is a crucial element for data analytics and an essential field in data sciences. As we know, now it’s a digital world, everything runs

It’s all the massive amount of structured data as well as unstructured data created every day. Traditional databases struggle to store and process such volumes. Big data architecture is used in the business / government / organization to analyze trends for better service and predict future outcomes. Big data plays an enormous role in business.

An expert system is a specialized part of artificial intelligence (AI). It aims to address intricate problems by emulating the decision-making processes of human experts. These systems use a vast knowledge base and rules to provide solutions, make recommendations or help with decision-making in various fields. They are built to think reason and interpret data

Evolutionary algorithms are smart problem-solving tools inspired by nature. They work like natural selection where the best solutions survive and get better over time. By using steps like choosing the best options, making small changes  and mixing solutions. These algorithms test different ideas to find the best answers. People use them in the field of

Clustering is an unsupervised technique in the field of machine learning algorithms. The task of this technique is to convert complex dataset into different groups based on their features and characteristics. It plays a significant role in artificial intelligence. In various domains it offers insights in underlying patterns and trends of dataset And makes it

In machine learning, Hyperparameters are external configuration variables that data scientists use to control the training process of deep learning models. They are the actual parameters which are set before the training process. Hyperparameters have a significant role to play for the performance, structure and function of deep learning models. Hyperparameters and parameters  Hyperparameters are

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