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Front-end technologies for digital transformation and artificial intelligence tasks, functional overview of modern Javascript (variables, functions, split assignments)
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Regression modeling methods for statistical causal inference utilized in digital transformation, artificial intelligence, and machine learning tasks; causal effect estimation using matching and stratified analysis methods
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Definition of causal effects and estimation of statistical causal effects (ATT, ATU, ATE) based on the Rubin effect model used for digital transformation, artificial intelligence and machine learning tasks
CSS Protected: Bootstrap5 Front-end Development Textbook – Introduction and Introduction to Bootstrap
Overview of Bootstrap5, a flexible front-end framework used for digital transformation and artificial intelligence tasks (fluid grids, fluid images, media queries, grid systems) and its actual implementation
グラフ理論 Machine Learning Professional Series – Gaussian Processes and Machine Learning Reading Notes
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A Gaussian Process (GP) is a nonparametric regression and classification method based on probability th...
Symbolic Logic From Inductive logic Programming 2012 Proceedings
Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...