Analyze Datasets and Train ML Models using AutoML
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| Photo by Riku Lu | |
This training is in progress.
https://www.coursera.org/learn/automl-datasets-ml-models
Higher Learning | Foundations Principles Theories of Data Science
Photo by Riku Lu | This is the official textbook to be used in the course DS100 (Foundations Principles Theories of Data Science) under the Bachelor of Science in Artificial Intelligence Major in AWS Application program being developed by Xavia Research University. This is an ongoing project and shall be updated it progresses. | Course Overview: This course provides a comprehensive exploration of the foundational concepts, principles, and theoretical underpinnings of data science. Students will gain a deep understanding of the key components that drive the field, from the basics of data types to advanced statistical and machine learning theories. Week 1-2: Introduction to Data Science Overview of Data Science and its Applications Definition: Data science is an interdisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract meaningful insights and knowledge from structured and unstructured data. It combines elements from statistics, computer...
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