ML: A Framework for Understanding The AI Landscape & Terminology
ML: A Framework for Understanding The AI Landscape & Terminology

Abstract: 

This 1.5-hour session will be a survey through the data science workflow, including different types of algorithms, and to explore common language and misconceptions in the data science industry. The intention of this workshop is to establish a framework for individuals with no data science expertise to come away with a theoretical understanding of the data science landscape and terminology.

Course Outline:
• Artificial Intelligence vs Machine Learning (ML) vs Deep Learning (DL)
• Data Science Workflow
• Machine Learning
• Neural Networks
• Common Applications of ML and Algorithms Used
• Popular Data Sets
• Popular Platforms and Demos
• Popular Machine learning frameworks for Software Engineers

Bio: 

Coming Soon!

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google