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Intended primarily for developers who have little or no experience with Python or Pandas. It contains a fast-paced introduction to Python and Python-based solutions to various tasks.
Introduces beginners to basic machine learning algorithms using TensorFlow 2. The book is intended to be a fast-paced introduction to various ""core"" features of TensorFlow, with code samples that cover machine learning and TensorFlow basics.
Intuitive Biostatistics with Python is a practical guide that teaches essential statistics to the life sciences community using the popular Python programming language.
This text presents innovative research-oriented ideas, and the implementation and socio-economic applications of internet of things-based network. It showcases smart waste management, optical technologies for internet of things, and remote patient monitoring and data analysis.
This book explores Python's rich history, dynamic features, and its wide-ranging applications in web development, data science, and machine learning.
Fully updated for Rust's 2024 edition, authors Jim Blandy, Jason Orendorff, and Leonora Tindall introduce the latest language advancements while covering essential topics like generics, async programming, and C interoperability.