Matt Taddy Bücher

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value. The business analytics landscape has transformed, with Data Scientists at the forefront. This resource guides you through leveraging machine learning for effective business data science. Whether you're a business leader eager to delve into data or an engineer looking to apply Machine Learning to business challenges, you'll find essential insights and tools for thriving in today's data-driven economy. You'll discover how to utilize key machine learning components such as sparse regularization, out-of-sample validation, and latent factor and topic modeling. Learn to apply ML tools to real-world business scenarios where causation is more critical than correlation, and engage with data science through R programming. In a rapidly evolving business environment, companies must make swift, informed decisions to succeed. This guide emphasizes the importance of executing data science effectively, highlighting innovative applications of Big Data to enhance business performance and outlining the principles and best practices necessary for excellence in business data science.