Date(s) - 24 May 2019
12:00 pm - 1:00 pm
Eastern Time (USA)
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
This webinar covers popular Machine Learning techniques and talks about using Python, Spark or R environments for machine learning algorithms. Machine Learning overview will cover Machine Learning Landscape, applications and understanding ML algorithms and models.
This webinar is being facilitated by Mark Kerzner, an expert in the field.