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Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence   What is Artificial Intelligence ? Artificial Intelligence is a branch of computer science that deals with the development of methods that allow computers to learn without explicit programming. Artificial Intelligence is a way of making a digital brain by teaching computers different methods without human interference. In Artificial Intelligence computers learn themselves on the basis of prior experience and learning. Classical AI and Today's AI:   In previous times, AI was used manually or with human intervention. A person used to find a problem and solution by himself, then train the computer after setting rules and solutions related to that particular problem. Today's AI reduced the human effort and hard work. Nowadays, a person has to ask the problem only, AI gives all possible solutions related to that problem. Goal of AI: The goal of AI is to perform tasks as humans can do. For example: Making decisions and judge etc. Value Creati...
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Machine Learning Vs Deep Learning

Basics of Machine Learning, Deep learning or Neural Networks:   Machine learning: Machine Learning is a great part of the Artificial intelligence field and is a popular way to execute AI projects through different methods. Normally in ML, there is no need to instruct computers, data is given to the system and according to prior experience and data, rules are made to apply further.  In the Machine Learning domain, models are trained on learning how to create rules for themselves to perform lookalike tasks by taking specific inputs by their desired possible outputs. ML typically requires processed or organized data with the involvement of humans. What is Deep Learning Study of neural networks is called deep learning.  DL is the study of doing ML with neural networks. In 2012, Neural Networks made up of basic and fundamental mathematical functions like addition, subtraction, multiplication and division etc. these networks  are like neurons in the human brain to make ...
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Diffusion Models

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