Praveen Sivathapandi, is a IT leader who has more than 18 years of experience in various sectors such as healthcare, finance, automobiles, and logistics.
The paper then explores a wide spectrum of ML techniques, including unsupervised, supervised, and reinforcement learning methods ... including federated learning, explainable AI, and edge computing.
Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...
Forget vague ideals. See how Bloom and Skinner help educators measure learning through observable behaviors, practical ...
Beyond detection, the platform employs a large language model, specifically GPT-3.5, to recommend context-specific ...
This study aims to investigate the impact of tumor quadrant location on the 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models. By integrating ...
As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to ...
By Jeremy Engle What feeling or experience do you wish there was a word for in English? By The Learning Network President Trump has been pushing tariffs in the first weeks of his new term.
Please view our affiliate disclosure. Artificial intelligence has had a dramatic impact on language learning, offering personalized and efficient ways to master new tongues. AI-powered language ...
and deep learning (LSTM model). It includes data preprocessing, training and evaluation of the models, applying explainable AI (XAI) techniques, and optimizing feature selection based on XAI insights.
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