Fundamentals of Machine Learning

Description

This book is designed as a comprehensive textbook for courses on Machine Learning for Business Applications and related subjects. It provides a practical and accessible overview of how machine learning and deep learning techniques can be applied across a wide range of business analytics scenarios.

The book equips readers with hands-on knowledge of industry-relevant tools such as Jupyter Notebook for Python programming and Orange, a Python-based graphical user interface for machine learning. These tools help learners understand and implement various analytical techniques through real-world examples and case studies.

By combining theoretical concepts with practical applications, the text demonstrates how machine learning algorithms can be used to solve business problems across domains. Readers gain valuable insights into the implementation and interpretation of analytical models in actual business environments.

The book also covers contemporary topics such as Social Media Analytics, Text Analytics, and Ethical Issues of Using AI and Machine Learning, making it relevant for students, researchers, and professionals interested in modern business analytics.