Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems

Offering insights across various domains such as computer vision and natural language processing, Vectorization covers the fundamental topics of vectorization including array and tensor operations, data wrangling, and batch processing. This book illustrates how the principles discussed lead to successful outcomes in machine learning project...