Machine Learning Fundamentals

<p><b><i>Machine Learning Fundamentals</i> provides a comprehensive overview of data science emphasizing machine learning (ML).</b> This book covers ML fundamentals processes and applications that are used as industry standards. Both supervised and unsupervised learning ML models are discussed.</p><p>Topics include data collection and feature engineering techniques as well as regression classification neural networks (deep learning) and clustering. Motivated by the success of ML in various fields this book is designed for a wide audience coming from various disciplines such as engineering IT or business and is suitable for those getting started with ML for the first time.</p><p>This text can also serve as the main or supplementary text in any introductory data science course from any discipline offering real-world applications and tools in all areas.</p>