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Complexity analysis, divide & conquer, greedy algorithms, dynamic programming
Supervised & unsupervised learning, neural networks, regression, classification
Cryptography, consensus mechanisms, smart contracts, DApps
Data warehousing, OLAP, data mining, BI tools & visualization
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Network security, cryptography, ethical hacking, forensics
CNN, RNN, LSTM, GANs, autoencoders, transfer learning
Parallel processing, GPU computing, distributed systems
Text processing, sentiment analysis, transformers, BERT
Mobile architectures, Android, mobile networks, security
Testing methodologies, automation, Selenium, quality metrics
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4 core subjects + 6 popular electives with complete notes
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Summary notes for last-minute preparation
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Yes, 100% aligned with SPPU 2019 pattern for BE Computer Engineering. All syllabus topics covered comprehensively.
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