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Artificial Intelligence FAQs Here is a list of frequently asked questions (FAQs) about Artificial Intelligence: 1. What is the definition of Artificial Intelligence? The development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. 2. What is machine learning? A type of […]
Introduction to AI Domains (Data, CV & NLP) Artificial Intelligence (AI) is a broad field that encompasses multiple sub-domains, including data science, computer vision (CV), and natural language processing (NLP). In the world of technology, there’s a buzzword that seems to be everywhere these days – Artificial Intelligence, or AI for short. You might have […]
What is Machine Learning? Machine learning is a subfield of artificial intelligence (AI) that focuses on building algorithms and statistical models that allow computers to perform tasks that typically require human intelligence, such as recognizing patterns, making predictions, and taking decisions. Machine learning algorithms are trained on large datasets and can learn from experience, continually […]
Concepts of Computer Vision in AI Computer Vision is a field of study focused on teaching computers to understand and interpret visual information, such as images and videos. It involves the use of algorithms, machine learning, and computer vision techniques to process, analyze, and make sense of visual data. Some of the key concepts […]
What is Confusion Matrix in AI A confusion matrix is a tool used in machine learning to evaluate the performance of a classification model. It is a table that summarizes the number of true positive, true negative, false positive, and false negative predictions made by a model. Understanding the Confusion Matrix in AI: A […]
What is K-Nearest Neighbor Algorithm? K-Nearest Neighbor (KNN) is a supervised machine learning algorithm used for classification and regression. In a KNN model, the output for a new data point is based on the “K” nearest data points in the training data set. Demystifying the K-Nearest Neighbor (K-NN) Algorithm In the realm of machine […]
What is Natural Language Processing (NLP) in AI Natural Language Processing (NLP) is a field of artificial intelligence and computer science that deals with the interaction between computers and human languages. The goal of NLP is to develop algorithms and models that enable computers to understand, interpret, and generate human language. Unlocking the Power […]
What is Deep learning in AI Deep learning is a type of machine learning that uses artificial neural networks with multiple layers to perform tasks that would be difficult or infeasible for traditional machine learning algorithms. These neural networks are designed to mimic the way the human brain processes information, and they can learn from […]
What is Neural Network ? A neural network is a type of machine learning model that is inspired by the structure and function of the human brain. Neural networks are made up of a large number of interconnected nodes, or neurons, that process and transmit information. Understanding Neural Networks: Inspired by the Human Brain […]
What is Model Evaluation in Machine Learning? Model evaluation is a crucial step in the development and deployment of machine learning models. It aims to assess the performance of a model and determine its suitability for a specific task. This process involves various metrics, techniques, and considerations to ensure the model’s accuracy, reliability, and real-world […]
Difference Between Human language and Computer language Human language and computer language are two distinct forms of communication that serve different purposes. Human language vs Computer language Human language is the natural mode of communication between humans and is used to express thoughts, feelings, and ideas. It is flexible, versatile, and rich in nuance, allowing […]
What is the difference between AI machine and not AI machine? AI Machine 1. AI machines are trained with data and algorithm. 2. AI machines learn from mistakes and experience. They try to improvise on their next iterations. 3. AI machines can analyses the situation and can take decisions accordingly. 4. AI based drones […]