Edit
Tools like the Wolfram Language have made machine learning accessible to anyone with basic computing skills. As the importance of knowing the internal details of machine learning algorithms diminishes, the importance of understanding how to apply machine learning appropriately rises. 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.
583726741582
1610124761-b43dd63b4ef20b03
Wolfram Webinar Team
1647515473-e4a60bbfa9de062a
Kareem Ahmed
Technical Consultant
First Name*
Last Name*
Your Email*
Country*
State/County
Organization*
Job Title*
Which best describes you?*
Are you a Mathematica or Wolfram Language user?*
I would like to sign up for Wolfram News to stay up to date with news on the latest technology, events and products from Wolfram.
I agree to the retention of my personal data by the Wolfram Companies as explained in the Privacy Policy.*
We use BigMarker as our webinar platform. By clicking Register, you acknowledge that the information you provide will be transferred to BigMarker processing in accordance with their Terms of Service and Privacy Policy.