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3D Data Science with PythonAll Indian Reprints of O'Reilly are printed in Grayscale Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets,

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provides a concise yet comprehensive overview of GA4 and its cloud integrations

Dive into linear regression models used in business and science

This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented

Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop's interactive data visualisations

You will learn about the concepts and principles behind Java EE applications

Design and Analysis of algorithm and Distributed Operating System

positions him at the forefront of innovation in LLM applications and information retrieval

Blake Meike

Trends in Trading

New design patterns in popular areas such as parallel programming

Create and configure aDSOs

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