Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning.
In this episode you will learn:
• Comet ML [3:22]
• What is a data science evangelist? [7:08]
• FullyConnected [12:04]
• Imposter Syndrome and Ayodele’s book [15:57]
• What Ayodele wished she learned from grad school [20:25]
• Uncovering Bias in Machine Learning [27:00]
• Where can we affect this positive change in fairness? [31:08]
• The potential for a rosy future [49:20]
• Ayodele’s LinkedIn Learning course [52:24]
Additional materials: www.superdatascience.com/449
Om Podcasten
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.
As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.