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Data augmentation is a powerful strategy used to enhance the quality and quantity of training datase...
Statistical_Tools_in_ML_Presentati Statistical Tools in Machine Learning Statistical tools in machi...
machine learning
Machine Learning techniques used in Artificial Intelligence- Supervised, Unsupervised, Reinforcement...
This presentation explores the emerging field of causal representation learning, which aims to combi...
Bridge the Gap Between Data and Decisions: Master Data Science Course using Machine Learning Empower...
Machine learning algorithms have been widely applied in the field of personalized learning within ed...
This presentation shows the case of digitising old historical scanned seismograms into vector format...
Technology Used Kind of Applications Major Issues in Data Mining Summary Supervised learning - ...
Implemented a machine learning project aimed at predicting heart diseases using various algorithms a...
"Data Annotation Techniques: The Foundation of AI" explores how accurate data labeling and...
Efficiently addressing missing data is critical in data analysis across diverse domains. This study ...
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to i...
Parthiban Srinivasan (VINGYANI, India) When new technologies become easier to use, they transform in...
This document provides a comprehensive guide to Artificial Intelligence (AI) and Machine Learning (M...
1) Laptop Price Prediction Model Using Machine Learning & Python : Objective: The objective of t...
This project presents a machine learning approach to predicting house prices using a dataset contain...
Playwright, Gen AI, and machine learning models are used in modern software testing to make the proc...
Delve into the realm of sensor networks and uncover the sophisticated techniques employed for anomal...
The data were collected from the Taiwan Economic Journal for the years 1999 to 2009. Company bankrup...
Social Media Analytics (SMA) is the process of collecting, analyzing, and interpreting data from soc...
High-dimensional sampling and volume computation refers to a set of computational techniques used to...
This project showcases an AI-driven approach to detecting credit card fraud using machine learning a...
Deepfake detection is a critical and evolving field aimed at identifying and mitigating the risks as...