Konrad Körding joins us to discuss his work in educating the next generation in deep learning and his views on the importance of causality in deep learning research.
In this episode you will learn:
• Konrad’s academic background [3:54]
• Neuromatch Academy [5:23]
• Artificial general intelligence [35:02]
• Defining deep learning [41:24]
• Symbol representation [44:12]
• Konrad’s career journey [47:25]
• What other skills should you develop for the future? [52:46]
• What is the future of intelligence in our timeline? [56:37]
Additional materials: www.superdatascience.com/469
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.