All About Artificial Intelligence
Autoencoders are a kind of neural network that doesn’t need labeled data for training. The model learns a compressed version of the data to recreate the original with little loss of information. Autoencoders consist of two main parts: an encoder and a decoder. The encoder shrinks the data and the decoder expands it back. The…
IntelliCode is a tool in Microsoft’s Visual Studio and Visual Studio Code. It uses machine learning to suggest better code completions based on the code’s context. The working of IntelliCode involves analyzing patterns in code to predict what code a developer is likely to write next. The models learn how programmers write by using big…
Speech recognition is the technology that allows machines to understand and interpret human speech. Algorithms and machine learning can transform spoken words into text or commands. Computers and other devices can understand and act on them. let we explain how it works and what its benefits are: This technology works by analyzing the acoustic patterns…
Gradient descent optimization algorithms is a widely used optimization algorithms in machine learning to minimize the cost function of a model. The cost function measures the difference between the predicted output and the actual output. Also, the objective is to find the set of parameters that minimize the cost function. Gradient descent works by computing…
A Banking Bot is a computer program or an AI-powered chatbot. Banking Bot is designed to provide banking services and assistance to customers through digital channels. It uses NLP and ML algorithms to understand and respond to customer queries in real time. Banking bots can perform a variety of functions. For example, checking account balances,…
Crowdsourcing and human computation are two related concepts that involve the use of human intelligence to perform tasks that are difficult or impossible for computers to do alone. They are used in many applications, from image recognition and natural language processing to data annotation and content moderation.Here are some key concepts and techniques used in…
Explainable AI (XAI) is a field of research in artificial intelligence (AI) that focuses on making machine learning models. It is more transparent and understandable to humans. The goal of Explainable AI (XAI) is to enable users to understand the reasoning behind the decisions made by AI models. It also used to identify and correct…
To actively decompose a given matrix, Singular Value Decomposition (SVD) utilizes three matrices. The SVD technique is widely used in machine learning for dimensionality reduction. By utilizing the decomposed matrices, we can actively approximate the original matrix with a lower-rank representation. The process involves passively decomposing the original matrix into three matrices using SVD. Then…
Principal Component Analysis (PCA) is a popular unsupervised learning technique used for dimensionality reduction and feature extraction. PCA transforms a high-dimensional dataset into a lower-dimensional space while retaining the maximum amount of variance in the data. Principal Component Analysis (PCA) works by finding a set of orthogonal vectors, called principal components. It captures the maximum…