front matter
foreword
Machine Learning for Tabular Data dives into a critical area of machine learning: working with tabular data. From the spreadsheets you use every day to the databases that power businesses, tabular data is everywhere. It’s the hidden gem hiding in plain sight.
This book goes beyond just theory. It equips you to leverage the power of tabular data by teaching you machine learning techniques specifically designed for it. You’ll learn how to make sense of your data, uncover patterns, and build real-world applications—all with the added benefit of clear and interpretable results.
Machine Learning for Tabular Data gets you coding and implementing. Unlike many resources that focus solely on model training, this book takes you on a complete journey through the world of machine learning with tabular data. Packed with practical coding examples, the book guides you through the entire machine learning life cycle: wrangling messy data, building models, evaluating performance, and seamlessly deploying them into a professional public cloud environment using MLOps best practices.
And this book goes the extra mile by sharing valuable insights and practical experience, condensing a wealth of knowledge into a single resource. It’s the perfect companion for anyone who wants to dive in and start making a real impact with their tabular data.