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Wolfram 语言中的非结构化数据

该讲座将介绍如何使用自动化轻松推断结构并从非结构化资源中消除噪声,以及使用创新的计算方法和语义分析从其他次优来源中获得洞察力。 这些方法将应用于各种数据类型,包括图像、音频和视频,并将利用许多现实世界的情况。 借助 Wolfram 语言中内置的所有这些功能,任何了解该语言的人都可以使用多范式数据科学的力量,从而在任何环境中打开强大洞察力和高效工作流程的大门。

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Channels: Technology Conference

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1311 videos match your search.
Anthony Zupnik
Tom Wickham-Jones
Abdul Dakkak
Bernat Espigule-Pons
Dillon Tracy
Wolfram Data Science Platform capitalizes on the advantages of cloud-based analysis: improved access to computing resources, shared data, specialized tools, and published results. Data science workflows are presented, covering import, ...
Christopher Grattoni
Christopher Haydock
Ricardo Lagunes-Martínez es consultor internacional para organizaciones como el Banco Mundial y el Banco Interamericano de Desarrollo. Fue Gerente de Planificación Hídrica en la Comisión Nacional del Agua (Conagua), donde fue responsable de la integración del Programa Nacional Hídrico. En la ONU fue responsable de la implementación del Sistema de Cuentas Ambientales y Económicas ...
Jon Woodard
This talk with cover an introduction to the Wolfram Eureka! Program and a Q&A with a founder, Philip Maymin. While Philip uses Wolfram technologies as a part of their ...
Parth Pratap
Roberto Caveliere
Yves Papegay
Hephaistos Robotics Lab of INRIA Sophia Antipolis experiments with parallel robots, wire-driven robots, and small connected devices. To be efficient, integration of low-level communication, control, and data exchanges, as well ...
Andrew Yule
Gaurav Vishal
This talk discusses how Wolfram Language can be used for modeling and analysis in materials science including the following function topics: Molecule; LatticeData and related functions; ImageProcessing to analyze microstructures; ...
Suba Thomas
Suba Thomas
This talk demonstrates how the Microcontroller Kit can be used to deploy code to a robot. Control systems functionality is used to design a differential speed controller, which, along with the Arduino libraries for the relevant sensors and actuators, is deployed to ...
Alec Shedelbower
Kyle Keane
Физический институт имени П.Н. Лебедева
王衍伟博士 (纳扎尔巴耶夫大学工程与数字科学学院副教授)
本次报告以本人近十年来的部分科研工作和教学实践为例,讲述 Wolfram Mathematica 软件如何帮助报告人解决具体科研问题,传播科研成果,以及提升教学效果。在教学方面,报告内容以报告人近年来讲授的两门工程领域基础课程("工程数学"和"流体力学")为例展开,同时分享我和学生共同编写的《利用 Wolfram Mathematica 学习常微分方程和线性代数:实验讲义》。在科研方面,报告内容以报告人在高分子物理和复杂流体的流变与泵送行为两个领域的具体科研工作为例展开,讲述 3~4 个具体科研问题以及回答为什么 Wolfram Mathematica 软件是帮助我们解决这些问题最好的工具。