The Machine Learning Primer

This SAS Best Practices e-book serves as a foundational guide to Machine Learning (ML), defining what it is and exploring how machines learn by analyzing data to detect patterns, predict outcomes, and identify anomalies. Authored by Kimberly Nevala , the primer details the basic techniques, types of learning, and hot topics within ML, while also addressing key considerations for successful implementation. It clarifies that while machines can learn and appear intelligent, they are not autonomously creative or independent thinkers. This comprehensive resource provides valuable insights into leveraging ML for business value, highlighting its potential in areas like personalized marketing and optimizing activities across various channels. Prepare your organization for the future of analytics by downloading this essential Machine Learning primer.