Ben Fowler has been in the field of data science for over five years. In his current role at Southeast Toyota Finance, Ben leads the end to end model development process to solve the problem of interest. Ben holds a Master of Science in Data Science from Southern Methodist University, graduating in 2017. Following graduation, Ben has been a guest speaker to the SMU program multiple times. Additionally, Ben has spoken at the PyData Miami 2019 and PyData LA 2019 Conferences and has spoken multiple times at the West Palm Beach Data Science Meetup.
The 5-Step Recipe To Make Your Deep Learning Models Bug-Free
Datacast Episode 26: From Cognitive Neuroscience to Reinforcement Learning with Arthur Juliani
Arthur Juliani is a Senior Machine Learning Engineer at Unity Technologies, where he has worked as a founding member of the ml-agents GitHub project as well as the leader of the Obstacle Tower project. He is also currently a Ph.D. candidate in Cognitive Neuroscience at the University of Oregon, where he studies computation models of spatial representation learning in humans.
The 5 Concepts in Data Management That You Should Be Cognizant Of
2019 Annual Review: The Year of Steady Progress
Datacast Episode 25: Algorithmic Trading with Alexandr Honchar
Alexandr Honchar is an AI practitioner and entrepreneur, made in Ukraine, living in Italy, working worldwide. He has a master's degree in mathematics from the University of Verona, Italy, and has been working in the AI field for the last 7 years. He has grown from a data scientist role to a founder and tech leader role for several companies. Lately, he founded Neurons Lab - an AI boutique where he pushes AI frontiers and builds, which are unique for the culture of freedom and creativity with other strong technical experts. Apart from business, he blogs at Medium about recent AI advances and gives talks at conferences and meetups across Europe.
The 4 Steps To Build Out Your Machine Learning Team Productively
Datacast Episode 24: From Actuarial Science to Machine Learning with Mael Fabien
Maël is a Data Scientist at Anasen, a Y-Combinator Startup in Paris where he works on the automation of data exploration and feature extraction for textual data. He majored in Actuarial Science at the University of Lausanne and did a second Master in Data Science at Telecom ParisTech Engineering School. He is also a content writer for several blogs and a freelance Machine Learning instructor for 2 boot camps in Paris and Dakar. He is especially interested in applications of Machine Learning in the medical field.









