B.Tech – Artificial Intelligence and Data Science
Category: AI&DS
UNIT II -CONVOLUTIONAL NEUAL NETWORKS-16 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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Big Data Analytics-CSS334-ALL UNITS-2 Marks and 16 Marks
Hadoop is an open-source framework used for processing and storing large-scale data across distributed systems. It includes HDFS for storage,
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Big Data Analytics-CCS334/Unit V-Notes-HADOOP RELATED TOOLS
Hadoop uses various data formats and tools like Streaming and Pipes to analyze and scale data processing efficiently. It relies
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UNIT 5- AUTOENCODERS AND GENERATIVE MODELS – SUBJECT NOTES
Autoencoders are neural networks that learn to compress and reconstruct input data, mainly used for dimensionality reduction and feature learning.
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Big Data Analytics-CCS334/Unit IV-Notes-BASICS OF HADOOP
Hadoop processes large data using HDFS for distributed storage and supports tools like Hadoop Streaming and Pipes for scalability. It
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AD3501-DEEP LEARNING – UNIT 4- MODEL EVALUATION – SUBJECT NOTES
Model evaluation is the process of assessing how well a trained machine learning or deep learning model performs on unseen
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Bid Data Analytics- CCS334/Unit III -Notes- MAP REDUCE APPLICATIONS
MapReduce is a programming model for processing large datasets using map and reduce functions, managed by YARN for resource scheduling.
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Big Data Analytics-CCS334/Unit II- Notes-NOSQL Data Management
NoSQL databases offer flexible, scalable solutions for handling big data using models like key-value, document, and graph. Cassandra is a
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UNIT 3- RECURRENT NEURAL NETWORKS – SUBJECT NOTES
Recurrent Neural Networks (RNNs) are a type of neural network designed to handle sequential data by maintaining memory of previous
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