À PROPOS DE CET ÉPISODE
The top three winners of our Advanced ML course Kaggle competition join us to share their strategies and lessons learned from training models on real estate listing price data from houses in Spain. Hear how they navigated the decisions involved in model building, including feature engineering, the curse of dimensionality, and the challenge of handling text descriptions in a foreign language.
Anglais
États-Unis
TRANSCRIPTION 🔗
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de The USF Data Science Podcast.
AUTRES ÉPISODES DANS CE PODCAST
In this episode we talk to two of our graduating MSDS students, Amy and Rashmi, about their experiences in the MSDS program, their strategies for selecting their practicum companies, and the things that most surprised them about getting their MS degrees in Data Science at USF.
In this episode, we speak to Nico Thiébaut, a seasoned machine learning engineer with a PhD in Physics. Nico shares his experiences working on the popular gaming platform Roblox, highlighting the platform's growth and the challenges of creating engaging, user-generated content. We also discuss the …
In this episode we talk to two more students from our most recent cohort, Bassim and Rishi, about their experiences in the MSDS program. Bassim shares some insights into how he has optimized his job search process with some noticeable success, and Rishi walks us through his data engineering practic…
In this episode, we chat with Kekona Sorenson, a versatile data science leader at Microsoft. Kekona shares insights on his team’s role in improving Microsoft products through data analysis and experimentation. We also discuss the importance of cultural shifts in data-driven decision making and the …
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