John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles.
In this episode you will learn:
John’s first bungee jump [4:01]
Calculus and newer approaches [14:01]
Elder Research [21:11]
Domain knowledge advice [25:26]
The importance of instincts [41:52]
Ensembles and simplicity [59:33]
John’s opinions on neural nets [1:10:49]
Target shuffling method [1:17:27]
What does the future of data science hold? [1:39:53]
Additional materials: www.superdatascience.com/391
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.