In this episode of the SuperDataScience Podcast, I chat with Melanie Mitchell, one of the leading researchers in the field of AI. You will learn about complexity, what it is and how it works, and how it can be seen in different areas of life. You will hear about common sense, meta-cognition, explainable AI, and you will also hear Melanie's ideas and thoughts on the future of AI, which break down into two areas which you'll find out in this podcast.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/257

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 257: AI: How Far We Haven’t Actually Come

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.

SDS 257: AI: How Far We Haven’t Actually Come

Super Data Science: ML & AI Podcast with Jon Krohn