How to bring ML data into practice with Pierce Freeman
The Data Standard
Episode Summary
From chatbots, personalized recommendations on social media, traffic predictions, and virtual personal assistants including Siri and Alexa, advances in machine learning are becoming an integral tool that helps individuals navigate the modern world. Increased adoption of such technology across the world has driven massive growth in the volume of data, requiring businesses to harness the power of machine learning to make decisions, learn about and predict customer behavior to drive strategic advantage.
Combining the fields of engineering, statistics, mathematics, and computing, machine learning is one of the leading data science methodologies revolutionizing business. This course will cover a wide range of machine learning methods, both model-based and algorithmic.
In this episode, guest Pierce Freeman sits down with TDS to discuss ways of bringing ML data into practice.
Meet The Host
Shayna Weldon
Podcast Host at The Data Standard
I aspire to broadcast content that carries my curiosity for the world and captivates an audience. I was driven to engineering by my passion for problem-solving, but I realized that while I enjoy the challenge of analytical work, I belong in an industry focused on relationships. I want to connect industry leaders, teachers, and athletes that make our world so unique and present their insight to the public. I have a natural inclination to reach out to people and hear their stories and I will exploit this desire for the rest of my life.
Meet The Guest
Pierce Freeman
Sr. Director Machine Learning at Globality
Sr. Director of Machine Learning at Globality, Stanford Alumnus. Writes at the intersection of AI, Design, Technology, and Economics.
