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I contained all the lectures not give to us by our lecturer
Keynote: How to build smart models for code generation
This ppt describes about morphological analysis and finite state automata
Iot presentation
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notes
Graph Representation Learning Meets Computer Vision: A Survey
Business intelligence chapter 2
Introduction to IML
Supervised Machine Learning, Regression and Classification
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consist...
Statistical modeling in pharmaceutical research and development , Statistical Modeling , Descriptive...
Information Retrieval Systems_Lecture_1_Text_Analytics.pptx
Our data science approach will rely on several data sources. The primary source will be NYPD shootin...
risk management 101 awaereness training
Introduction to Autoencoders: Types and Applications
A brief description of PERT-CPM for conceptualization
data summarization
mathematics
The Primer course for QSAR!!!!!!!
In this presentation, I have presented an introduction to AI, foundation of AI, and History of AI. ...
natural language processing
presentation about Bayes Rules
Bio-inspired computing Algorithms