Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
Autoencoders are neural networks that learn to compress and reconstruct input data, mainly used for dimensionality reduction and feature learning.
Continue readingUNIT 5- AUTOENCODERS AND GENERATIVE MODELS – SUBJECT NOTES
Hadoop processes large data using HDFS for distributed storage and supports tools like Hadoop Streaming and Pipes for scalability. It
Continue readingBig Data Analytics-CCS334/Unit IV-Notes-BASICS OF HADOOP
Model evaluation is the process of assessing how well a trained machine learning or deep learning model performs on unseen
Continue readingAD3501-DEEP LEARNING – UNIT 4- MODEL EVALUATION – SUBJECT NOTES
MapReduce is a programming model for processing large datasets using map and reduce functions, managed by YARN for resource scheduling.
Continue readingBid Data Analytics- CCS334/Unit III -Notes- MAP REDUCE APPLICATIONS
NoSQL databases offer flexible, scalable solutions for handling big data using models like key-value, document, and graph. Cassandra is a
Continue readingBig Data Analytics-CCS334/Unit II- Notes-NOSQL Data Management
Recurrent Neural Networks (RNNs) are a type of neural network designed to handle sequential data by maintaining memory of previous
Continue readingUNIT 3- RECURRENT NEURAL NETWORKS – SUBJECT NOTES
Deep Learning Laboratory provides hands-on experience in designing, training, and evaluating deep learning models using tools like TensorFlow and Keras.
Continue readingAD3511- DEEP LEARNING LABORATORY – LAB MANUAL
Big Data refers to extremely large datasets that require advanced tools and technologies like Hadoop for storage, processing, and analysis.
Continue readingBig Data Analytics/CSS334-Notes/Unit 1-Understanding Big Data
Deep Learning Laboratory refers to a practical learning environment where students and researchers implement and experiment with deep learning models
Big Data Analytics is the process of examining and analyzing large volumes of complex data (structured, semi-structured, and unstructured) to