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Education & Academic

Learning Differential Equations in 10 Hours or Fewer with the Wolfram Language

Differential equations are a cornerstone of modern mathematics. From quantum mechanics to population dynamics and stock market predictions, they play a crucial role in understanding the world around us. For this reason, courses on differential equations are core for many undergraduate degrees in the natural sciences, engineering and other fields.
Luke Titus, Team Lead, Sales & Services
Current Events & History

Change Your Perspective on the History of Mathematics with These Eight Learning Journeys

Amid COVID’s first wave, I had the privilege to join forces with Eric Weisstein and his team at Wolfram Research to create the History of Mathematics Project, a virtual interactive gallery highlighting physical artifacts that are important to the history of mathematics, for the National Museum of Mathematics (MoMath) in New York City. Most of my mandatory confinement at home was spent navigating through online collections from world-class museums, locating outstanding mathematical artifacts and creating interactive and computational explanations for them.
Bernat Espigulé-Pons, OSW Operations
Education & Academic

A New Way to Ask Wolfram|Alpha Questions with Math Input

We are excited to talk about a feature we released this summer that we call Math Input. We’ve had many requests to add this feature to the site, and after a lot of hard work from multiple teams, we’re ready to share it with you. Head over to Wolfram|Alpha to see it for yourself:
The Wolfram|Alpha Team
Education & Academic

Using Neural Networks to Boost Student Learning in Chemistry

I attended the Wolfram Neural Networks Boot Camp 2020, and that inspired me to incorporate elements of data science and machine learning in my course. The helper functions for machine learning make it quite easy to experiment and introduce such applications to students. We chose to perform image recognition and classification problems that are routinely used to initiate the topics of both neural networks and machine learning.
Arun Sharma, Guest Author
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