Hands-on approach with real-world case studies in banking, insurance, e-commerce, retail, and healthcare for practical learning
Includes Python programming and statistics fundamentals to build a strong foundation
Covers a wide range of machine learning and deep learning techniques including regression, decision trees, clustering, and neural networks
Provides access to downloadable datasets, code, and sample projects for further exploration
Written by experts in the field for reliable and up-to-date information
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. Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques