
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!

David Yakobovitch, PhD
Title
Principal Data Scientist, Instructor | Galvanize
Category
trainings-nyc19
