Fundamentals of AI & ML: Advanced Data Science Methods

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. In data science, many statistical and analytical techniques can be used to pull meaningful insights from data. Some advanced data science methods rely on other foundational data science methods, such as text mining. In this course, you will learn about advanced data science methods and their use cases. Begin this course with an exploration of advanced machine learning (ML) methods, such as text mining and graph analysis, and their uses. Next, you will discover the anomaly and novelty detection processes. You will examine association rule mining and neural networks, including their use cases across industries. Then you will focus on common challenges during artificial intelligence (AI) and ML model training, the trade-offs between model complexity and interpretability, and the role of natural language processing (NLP) in text analysis. Finally, you will investigate the potential of computer vision techniques and applications of reinforcement learning.