449: Fairness in A.I.
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Overcoming Imposter Syndrome in Data Science
This chapter addresses the common imposter syndrome felt by data scientists, emphasizing the importance of representation and building confidence in the field. It highlights the continuous need for learning and understanding ethical considerations in data science, along with practical advice for entering the profession. The discussion also introduces a new book aimed at supporting newcomers with essential skills and insights to navigate their careers effectively.
Transcript
Play full episode
