DESCRIPTION
Syllabus
Unit 1 : An overview to AI: The evolution of AI to the present, Various approaches to AI,What should all engineers know about AI?,Other emerging technologies, AI and ethical concerns
Unit 2: Data & Algorithms: History Of Data, Data Storage And Importance of Data and its Acquisition, The Stages of data processing, Data Visualization, Regression, Prediction & Classification, Clustering & Recommender Systems
Unit 3: Natural Language Processing: Speech recognition, Natural language understanding, Natural language generation, Chatbots, Machine Translation
Unit 4: Artificial Neural Networks: Deep Learning, Recurrent Neural Networks, Convolutional Neural Networks, The Universal Approximation Theorem, Generative
Adversarial Networks
Unit 5: Applications: Image and face recognition, Object recognition, Speech Recognition besides Computer Vision, Robots, Applications
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