Understanding Machine Learning Techniques : หน้า 66/132

This book provides an in-depth understanding of machine learning techniques such as supervised and unsupervised learning, neural networks, and decision trees. It explores their practical applications in different fields, including healthcare, finance, and marketing. The goal is to equip readers with the knowledge to implement and utilize these techniques effectively. Readers will learn the foundational concepts, advantages, and limitations of each method, enhancing their data analysis skills and decision-making capabilities. Whether a beginner or an experienced data scientist, this guide offers valuable insights into the dynamic world of machine learning.

-Supervised Learning
-Unsupervised Learning
-Neural Networks
-Decision Trees
-Applications in Healthcare
-Applications in Finance
-Applications in Marketing