Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books
Jun 17, 2022 • 4min
584: OpenAI Codex
Delve into the capabilities of OpenAI's Codex algorithm, a natural language interface trained on billions of lines of code, as it demonstrates tasks like creating video games and generating Python scripts for data visualization
Jun 14, 2022 • 1h 15min
583: The State of Natural Language Processing
NLP expert Rongyao Huang discusses the evolution of NLP techniques and the upcoming iron age of NLP. Topics include advancements in NLP models, the importance of smaller, faster models, Bauhaus-inspired data science, career strategies, and tips for maintaining work-life balance.
Jun 10, 2022 • 3min
582: Model Speed vs Model Accuracy
Jon discusses the importance of starting with simple models when working with labeled data and transitioning to more complex models for accuracy. He emphasizes prioritizing model speed over accuracy in production systems for a better user experience.
Jun 7, 2022 • 1h 25min
581: Bayesian, Frequentist, and Fiducial Statistics in Data Science
Prof. Xiao-Li Meng discusses data trade-offs, paradoxical downsides of abundant data, and the differences between Bayesian, Frequentist, and Fiducial statistics in data science. Topics include data mining, data confession, and tricky trade-offs with data.
Jun 3, 2022 • 6min
580: Collecting Valuable Data
Dive into the world of machine learning as strategies for effective data collection take center stage. Discover how to identify commercial problems before starting your data journey. Learn the significance of labeled data and the various methods to obtain these crucial labels. The discussion also highlights challenges that may arise during the data collection process, setting the stage for future insights.
May 31, 2022 • 47min
579: Transforming Dentistry with A.I.
Dr. Wardah Inam, CEO of Overjet, discusses utilizing computer vision for dental diagnoses, reducing under-diagnosis with A.I., ML challenges in dentistry, tips for A.I. business success, and hiring criteria for data scientists and software engineers.
May 27, 2022 • 4min
578: Identifying Commercial ML Problems
Learn how to identify commercial machine learning problems, the importance of pinpointing a problem before data collection, and strategies for improving product development through self-reflection and consultations with key users.
May 24, 2022 • 55min
577: Scaling A.I. Startups Globally
Husayn Kassai, co-founder of Onfido, shares his journey in AI start-ups with Jon Krohn. Topics include seed stages, US market expansion, product building, and startup project decision-making. Insights on disrupting credit footprint industry, team building, and AI product development.
May 20, 2022 • 3min
576: Tech Startup Dramas
Jon Krohn reviews small-screen adaptations of tech startups like WeWork, Uber, and Theranos. The podcast explores the rise and fall of tech startup founders and their companies through dramatic storytelling.
May 17, 2022 • 1h 24min
575: Optimizing Computer Hardware with Deep Learning
Dr. Magnus Ekman from NVIDIA discusses optimizing computer hardware with deep learning. Topics include ML for hardware speed, his deep learning book, evolving AI architectures, and the importance of understanding foundational concepts and ethical considerations in AI development.
