Wolfram | Wolfram Language for Python Users @WolframResearch | Uploaded August 2024 | Updated October 2024, 1 day ago.
This talk will give a brief look at how the two different languages can work together and how introducing Wolfram Language's unique computational framework can add functionality and accessibility to existing Python workflows.
We will demonstrate a number of computational approaches unique to Wolfram Language, instilling the benefits of using Wolfram Language to solve practical problems in the fields of data science and mathematics and opening the door to true multiparadigm computation.
#WolframLanguage #Python
Join our upcoming Big Problems with Big Data: Managing Risks in AI webinar on Friday, August 16, 2024 at 3:00pm BST, London time for a 90-minute talk to discuss the potential hidden dangers of machine learning, data science and generative AI.
Register for free here: https://wolfr.am/1olKSa5ug
This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.
Stay up-to-date with our Wolfram U events.
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This talk will give a brief look at how the two different languages can work together and how introducing Wolfram Language's unique computational framework can add functionality and accessibility to existing Python workflows.
We will demonstrate a number of computational approaches unique to Wolfram Language, instilling the benefits of using Wolfram Language to solve practical problems in the fields of data science and mathematics and opening the door to true multiparadigm computation.
#WolframLanguage #Python
Join our upcoming Big Problems with Big Data: Managing Risks in AI webinar on Friday, August 16, 2024 at 3:00pm BST, London time for a 90-minute talk to discuss the potential hidden dangers of machine learning, data science and generative AI.
Register for free here: https://wolfr.am/1olKSa5ug
This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.
Stay up-to-date with our Wolfram U events.
Wolfram Events Page: events.wolfram.com
YouTube: youtube.com/@wolframu
LinkedIn: linkedin.com/company/wolfram-u
Follow us on our official social media channels:
X: twitter.com/WolframResearch
Facebook: facebook.com/wolframresearch
Instagram: instagram.com/wolframresearch
LinkedIn: linkedin.com/company/wolfram-research/mycompany
Contribute to the official Wolfram Community:
community.wolfram.com