BOOKS - 3D Data Science with Python Building Accurate Digital Environments with 3D Po...
3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows (Early Release) - Florent Poux 2024-10-28 EPUB O’Reilly Media, Inc. BOOKS
ECO~26 kg CO²

2 TON

Views
1722

Telegram
 
3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows (Early Release)
Author: Florent Poux
Year: 2024-10-28
Format: EPUB
File size: 22.9 MB
Language: ENG



Pay with Telegram STARS
Book Description: '3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows Early Release' is a comprehensive guide to understanding the power of 3D data science and its applications in various fields. The book provides a detailed overview of the technology and its potential to revolutionize various industries. It covers topics such as point cloud workflows, 3D visualization, and machine learning algorithms, making it an essential resource for anyone looking to leverage the full potential of 3D data science. The book begins by exploring the concept of 3D data science and its significance in today's world. It discusses how 3D data has become increasingly important in various fields such as architecture, engineering, and construction. The authors explain how 3D data can be used to create accurate digital environments that can help professionals make better decisions. They also highlight the challenges associated with managing and analyzing large amounts of 3D data, which is where 3D data science comes into play. The book then delves into the world of point clouds, explaining how they are created and their applications in various fields.
«3D Data Science with Python Building Accurate Digital Environments with 3D Point Cloud Workflows Early Release» - это всеобъемлющее руководство по пониманию возможностей 3D data science и ее приложений в различных областях. В книге представлен подробный обзор технологии и ее потенциала совершить революцию в различных отраслях. Он охватывает такие темы, как рабочие процессы облака точек, трехмерная визуализация и алгоритмы машинного обучения, что делает его важным ресурсом для всех, кто хочет использовать весь потенциал науки о трехмерных данных. Книга начинается с изучения концепции науки о 3D-данных и ее значимости в современном мире. В нем обсуждается, как 3D-данные становятся все более важными в различных областях, таких как архитектура, проектирование и строительство. Авторы объясняют, как 3D-данные можно использовать для создания точных цифровых сред, которые могут помочь профессионалам принимать более правильные решения. Они также подчеркивают проблемы, связанные с управлением и анализом больших объемов 3D-данных, что является местом, где наука о 3D-данных вступает в игру. Затем книга углубляется в мир облаков точек, объясняя, как они создаются и их применение в различных областях.
''

You may also be interested in:

Agile Data Science Building Data Analytics Applications with Hadoop
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Python for Beginners A Step by Step Guide to Python Programming, Data Science, and Predictive Model. A Practical Introduction to Machine Learning with Python
Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Introducing Data Science Big data, machine learning, and more, using Python tools
Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook Essential Tools for Working with Data
Python Data Science: A Comprehensive Guide to Self-Directed Python Programming Learning
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Automate ChatGPT Prompts for Data Science with Python Enhanced Coding for the Modern Python Developer
Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python.
Python 6 Books in 1 The Ultimate Bible to Learn Python Programming for a Career in Machine Learning, Data Science
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Python Data Science The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application
Data Science Fundamentals with R, Python, and Open Data
Data Science with Python From Data Wrangling to Visualization
Data Science Fundamentals with R, Python, and Open Data
Data Science Fundamentals with R, Python, and Open Data
Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024
Econometric Python Harnessing Data Science for Economic Analysis The Science of Pythonomics in 2024
Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Python for Beginners Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science
Python Programming The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions
Python Highway 2 Books in 1 The Fastest Way for Beginners to Learn Python Programming, Data Science and Machine Learning in 3 Days (or less) + Practical Exercises Included
Python Programming, Deep Learning: 3 Books in 1: A Complete Guide for Beginners, Python Coding for AI, Neural Networks, and Machine Learning, Data Science Analysis … Learners (Python Programming
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies (ACM Books)
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics)
Computer Programming Crash Course 7 Books in 1- Coding Languages for Beginners C++, C#, SQL, Python, Data Science for Python, Raspberry pi and Arduino. Teach Yourself to Code. Learn Faster
Python Data Analysis An Introduction to Computer Science Learn Step By Step How to Use Python Programming Language, Pandas
Learn Python Programming Master Programming in Python Language and WORK in Data Science (from beginner to intermediate to advanced)
Python Data Science How to Learn Step by Step Programming, Data Analytics, and Coding Essentials Tools
Python Programming A complete beginners guide on python machine learning, data science and tools (Computer Programming Book 1)
Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Learn Enough Series)
PYTHON PROGRAMMING 2 book in 1 A complete guide from beginner to intermediate on python machine learning, data science, tools (Computer Programming 5)
Python for Absolute Beginners: The Ultimate Beginner|s Guide to Learn Python Programming with Extensive Coverage on Data Science and Web Programming