Super Data Science: ML & AI Podcast with Jon Krohn
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.
Our Editor's Take
Super Data Science: ML & AI Podcast with Jon Krohn is a podcast for people considering a career in data science.
The creator and host of the show is John Krohn. He cowrote Deep Learning Illustrated in 2019. He also gives talks and teaches classes on artificial intelligence and deep learning.
Data science is an emerging field with many potential career paths. Every week, Krohn invites a guest to Super Data Science: ML & AI Podcast with Jon Krohn. Each guest talks about their job in great detail. They list their responsibilities and how they fit into their team. They also tell the story of how they got where they are. They mention their educational background as well as professional experience. If they have any side projects, they describe those as well.
Richmond Alake talks about his career as a machine learning architect. Python consultant Matt Harrison touts XGBoost as a modeling tool. Allegra Alessi explains the Internet of Things and its usefulness in automation. Avinash Kaushik of Croud leverages AI within his company's framework. Stefanie Molin uses pandas for data analysis.
Some episodes focus on new and exciting tools and technologies in the world of data science. Krohn talks about ChatGPT and other open-source language models. He considers whether GPT-4 is an improvement over GPT-3.5. He discusses what's next in generative AI, like Stanford's "exact attention" algorithm.
The Super Data Science: ML & AI Podcast with Jon Krohn podcast is for listeners with a tech background. The conversations are technical and revolve around tools that programmers and developers use. It's a great program for people just getting started in tech or for students considering a specialization. Listening to the show is also an effective way to stay abreast of the latest development. Data science is growing and changing fast. Krohn and his guests are at the forefront of those changes.
Episodes
