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Artificial Intelligence & Machine Learning

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Artificial Intelligence & Machine Learning

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  1. AI & Machine Learning

  2. Speech Recognition: Computer Vision: Customer Service: what is AI ? • It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to process human speech into a written format. • Online chatbots are replacing human agents along the customer journey. • This AI technology enables computers and systems to derive meaningful information from digital images, videos and other visual inputs, and based on those inputs, it can take action. Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans.

  3. 1950 1956 1967 History • Alan Turing publishes Computing Machinery and Intelligence. • John McCarthy coins the term 'artificial intelligence' at the first-ever AI conference at Dartmouth College. • Frank Rosenblatt builds the Mark 1 Perceptron, the first computer based on a neural network that 'learned' though trial and error. The idea of 'a machine that thinks' dates back to ancient Greece. But since the advent of electronic computing (and relative to some of the topics discussed in this article) important events and milestones in the evolution of artificial intelligence include the following:

  4. Types of Machine Learning Supervised learning Unsupervised learning Reinforcement learning There are three types of machine learning

  5. Traffic prediction • Virtual Personal Assistant • Speech recognition • Email spam and malware filtering • Bioinformatics • Natural language processing Uses of Machine Learning & AI:

  6. Advantages of Machine Learning Fast, Accurate, Efficient. Automation of most applications. Wide range of real life applications. Advantages of AI Reduction in Human Error Digital Assistance Unbiased Decisions

  7. Artificial intelligence and machine learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems. • The Artificial intelligence system does not require to be pre-programmed, instead of that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as Reinforcement learning algorithm and deep learning neural networks. Conclusion

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