This course addresses the challenge of machine learning (ML) in the context of small datasets, a significant issue due to ML's increasing data demands. Despite ML's success in various fields, many areas can't provide large labeled datasets because of costs, privacy, or security laws. As big data becomes standard, efficiently learning from smaller datasets is crucial. This … [Read more...] about Machine Learning with Small Data Part 1
Data Science
Statistical Learning for Engineering Part 1
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss … [Read more...] about Statistical Learning for Engineering Part 1
Learn SQL Basics for Data Science
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through three progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, SQL analysis, problem- solving strategies, debugging, improving data quality, and more. These topics will prepare you to apply … [Read more...] about Learn SQL Basics for Data Science
Advanced Microsoft Power BI
Welcome to Advanced Microsoft Power BI, where you'll embark on a journey to acquire practical expertise in data handling and machine learning which later used to harness the power of Microsoft Power BI for data visualization and decision making skills. Throughout this course, you'll explore the industry-specific applications of Power BI and use advanced Power BI features. By … [Read more...] about Advanced Microsoft Power BI
Quick Start Guide to Large Language Models (LLMs): Unit 3
This course explores building novel architectures tailored to unique challenges. You'll gain hands-on experience in building custom multimodal models that integrate visual and textual data, and learn to implement reinforcement learning for dynamic response refinement. Through practical case studies, you'll learn advanced fine-tuning techniques, such as mixed precision training … [Read more...] about Quick Start Guide to Large Language Models (LLMs): Unit 3
