290 Things to Know About Predictive Analytics Platforms

This book is an essential reference for anyone venturing into the world of predictive analytics platforms. It contains a comprehensive list of terms and their relevant definitions that will help you understand the jargon used in this field. You'll learn about data mining, machine learning, artificial intelligence, and much more.

Whether you're a seasoned veteran or a newcomer to predictive analytics, this book will provide you with valuable insights and enable you to communicate effectively with stakeholders. It covers a wide range of topics, including supervised and unsupervised learning, neural networks, decision trees, and regression analysis. Each term is explained in plain English, so you won't need an advanced degree in statistics to understand it.

In short, this book will give you the confidence to navigate the complex world of predictive analytics platforms and make sense of the various terms and concepts. Its simple, concise format makes it a valuable tool for professionals and students alike. Whether you're working in business, finance, healthcare, or any other industry, this book is a must-have resource.