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Barnes and Noble

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

Current price: $140.00
Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms
Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms

Barnes and Noble

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

Current price: $140.00
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Offering insights across various domains such as computer vision and natural language processing, 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. Each chapter has one or two types of contents: either an introduction/comparison of the specific operations in the numerical libraries (illustrated as tables) and/or case study examples that apply the concepts introduced to solve a practical problem (as code blocks and figures). Readers can approach the knowledge presented by reading the text description, running the code blocks, or examining the figures. Written by the developer of the first recommendation system on the Peacock streaming platform, explores sample topics including: From the essentials of vectorization to the subtleties of advanced data structures, is an ideal one-stop resource for both beginners and experienced practitioners, including researchers, data scientists, statisticians, and other professionals in industry, who seek academic success and career advancement.

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Barnes & Noble does business -- big business -- by the book. As the #1 bookseller in the US, it operates about 720 Barnes & Noble superstores (selling books, music, movies, and gifts) throughout all 50 US states and Washington, DC. The stores are typically 10,000 to 60,000 sq. ft. and stock between 60,000 and 200,000 book titles. Many of its locations contain Starbucks cafes, as well as music departments that carry more than 30,000 titles.

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