Fundamentals of Machine Learning for Predictive Data Analytics. 2nd Edition. John D. Kelleher, Brian Mac Namee, Aoife D'Arcy

Description of Fundamentals of Machine Learning for Predictive Data Analytics, 2nd Edition by John D. Kelleher, Brian Mac Namee, and Aoife D'Arcy

The second edition of Fundamentals of Machine Learning for Predictive Data Analytics is a comprehensive guide to the principles and techniques of machine learning for building predictive models. Written by leading experts, this book provides a clear and systematic framework for understanding machine learning, with a strong emphasis on practical applications and real-world data analysis.

    Key Features of the Book:

• Core Concepts of Predictive Analytics: A detailed introduction to the fundamentals of machine learning, including problem formulation and key methodologies.
• Structured Approach: Focuses on four types of machine learning: classification, regression, time series forecasting, and unsupervised learning.
• Algorithmic Foundations: In-depth coverage of algorithms like decision trees, k-nearest neighbors, neural networks, support vector machines, and more.
• Feature Engineering: Insights into data preprocessing, feature selection, and representation to optimize model performance.
• Evaluation Techniques: How to assess the accuracy and reliability of predictive models using appropriate metrics and validation methods.
• Advanced Topics: Discussions on ensemble methods, deep learning, and the role of causality in predictive analytics.

    What’s New in the Second Edition:
This updated edition integrates the latest developments in machine learning, offers expanded discussions on neural networks and deep learning, and includes more examples, exercises, and Python-based practical implementations to enhance learning.

    Who Should Read This Book?

• Students and professionals seeking a systematic introduction to machine learning for predictive analytics.
• Data analysts and scientists aiming to apply machine learning to solve real-world problems.
• Educators and trainers looking for a structured and practical teaching resource.

Why Choose This Book?
Fundamentals of Machine Learning for Predictive Data Analytics stands out for its balance of theory and practical application. It’s ideal for anyone who wants a clear, structured path to mastering machine learning concepts and techniques, whether for academic purposes or industry projects.