Artificial Intelligence Archives

Probabilistic Reasoning in Artificial Intelligence

Probabilistic reasoning in artificial intelligence is a method used to handle uncertainty by applying the laws of probability. It allows machines to make decisions when information is incomplete or noisy. By using statistical models, AI systems can predict outcomes and evaluate the likelihood of specific events occurring, ensuring robots function effectively in unpredictable real-world environments. …

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Types of Reasoning in Artificial Intelligence

Data Science / By Chandni Arora

There are different Types of reasoning in artificial intelligence which are the logical ways that machines use to analyze data and come to conclusions. These systems function like people by using information to figure things out or make predictions. AI can do complicated things like diagnosing diseases and driving itself by using rules and patterns. …

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Hill Climbing in Artificial Intelligence

Data Science / By Chandni Arora

Hill climbing in artificial intelligence is a way to find the best answer for a tricky problem. It works by starting with any guess and making small steps to improve it. If a change makes the answer better, the computer keeps it. This repeat process continues until the computer cannot find any more improvements nearby. …

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Alpha Beta Pruning in Artificial Intelligence

Data Science / By Chandni Arora

Alpha beta pruning is a clever trick used to make computer games run much faster. It helps the computer skip over moves that it already knows are bad so it does not waste time looking at them. This keeps the game quick and smart without changing the final move the computer picks. Alpha Beta Pruning …

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Propositional Logic in Artificial Intelligence

Data Science / By Chandni Arora

Propositional Logic in Artificial Intelligence is a branch of logic that deals with propositions which are either true or false. It serves as a foundational tool for representing knowledge and reasoning within computer systems. By using symbols and logical operators, AI agents can process complex information to draw logical conclusions and solve various computational problems …

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What is Artificial Intelligence (AI)?

Data Science / By Ankit kumar

Artificial intelligence is a smart version of the digital device capable of generating responses which was considered to be only done by human beings, including human-like reasoning, decision making, generating responses, and more.

Learning Artificial Intelligence in India 2026

Scope of Learning Artificial Intelligence in India

DSA / By Varun Saharawat

Artificial Intelligence is making a greater and wider impact in every field with the advanced automation, ease of work, and increased productivity it offers.

Generative AI vs Machine Learning – Key Differences & Examples

Generative AI / By Varun Saharawat

Generative AI is a branch of Artificial Intelligence that uses various machine learning techniques to understand data and give desired results based on it. Read here to learn Generative AI vs Machine Learning.

ML Models: Machine Learning Models– The Brains Behind AI

Data Science / By Ankit kumar

Machine learning models or ML Models are advanced algorithms or programs that can predict patterns or make informed decisions based on training from previous datasets.

How to Learn Artificial Intelligence: A Beginner’s Guide To Learn AI

Generative AI / By Ankit kumar

Learn AI with industry oriented curriculum and expert mentors. For beginners who are new to Artificial intelligence must start learning with AI fundamentals and tools. Become proficient in building AI models with in-depth tutorials for machine learning, deep learning, algorithms, maths, and programming.