Adventures in Machine Learning
Latest Episodes
Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084
Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk, ML/AI engineer at Snapchat as they discuss everything AI computer graphics to techniques on striking the efficiency-accuracy trade-off for
Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083
Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents. Today on the show, Michael interviews Adam to share his various strategies and approaches
Bioinformatics and Programming with Ken Youens-Clark - ML 082
Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.
Bioinformatics and Programming with Ken Youens-Clark - ML 082
Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.
Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
Data excellence is the foundation of better AI. Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale. Enjoy
From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080
Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering. Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers. Specific
Hyperparameter Tuning for Machine Learning Models - ML 079
When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes. Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the id
Ask Me Anything (AMA) with Host Ben Wilson - ML 078
Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering.In this episode… Why should people trust you? What will you lose by hearing abou
Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077
Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics. As an active contributor on Medium.com, Maciej has already made significant contributions to the AI and ML communities. On the show,