B.Tech – Artificial Intelligence and Data Science
Category: AI&DS
Big Data Analytics-CCS334-LAB MANUAL
Perform practicals on Hadoop ecosystem tools like MapReduce, Hive, HBase, and database integration for big data processing.Install and configure software
CCS370 UI and UX Design – Syllabus
User Experience (UX) Design focuses on enhancing user satisfaction by improving the usability, accessibility, and overall interaction between users and a
CCS336 Cloud Service Management Syllabus
Cloud computing is the on-demand delivery of computing services—such as servers, storage, databases, networking, software, and analytics—over the internet. Instead
UNIT 2 – CONVOLUTIONAL NEURAL NETWORKS – 2 MARKS WITH ANSWERS
Convolutional Neural Networks (CNNs) are deep learning models designed to process grid-like data such as images by applying convolutional filters
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UNIT 4 – MODEL EVALUATION -2 MARKS WITH ANSWERS
Model evaluation is the process of assessing how well a machine learning or deep learning model performs on unseen
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UNIT 5– AUTOENCODERS AND GENERATIVE MODELS -2 MARKS WITH ANSWERS
Autoencoders are neural networks that learn to compress input data into a lower-dimensional representation and then reconstruct it back, useful
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UNIT V – AUTOENCODERS AND GENERATIVE MODELS -16 MARKS WITH ANSWERS
Autoencoders are neural networks that learn to compress input data into a lower-dimensional representation and then reconstruct it back, useful
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UNIT III -RECURRENT NEURAL NETWORKS-16 MARKS WITH ANSWERS
Recurrent Neural Networks (RNNs) are a type of neural network designed for sequential data, where outputs from previous steps are
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CCS335 – CLOUD COMPUTING – SYLLABUS
Cloud computing is the delivery of computing services like servers, storage, databases, networking, software, and more over the internet. It