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Free Download Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms
English | 2025 | ISBN: 1394272944 | 428 Pages | EPUB (True) | 23 MB
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 projects, serving as concrete examples for the theories explained, with each chapter including practical case studies and code implementations using NumPy, TensorFlow, and PyTorch.
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