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Big Data, small talk
By ShakudoTechnology
Big Data, small talk episodes
- EP 4 - How to Build Efficient Machine-Learning PipelinesLet's dive into the world of efficient ML pipelines as we discuss best practices, covering crucial aspects such as data preprocessing, feature engineering, model training, and evaluation. Join our expert panelists Avi Kumar, Marcel Ribeiro, and Gustavo Martins as they explore popular tools like SciKit Learn, NextFlow, and Spark to optimize workflows and ensure robust machine learning solutions. Learn from their experience and insights on how to build and maintain seamless, high-performance pipelines for real-world applications.1 hr 1 min
- EP 2 - Solving the Complexity of Moving Data Science to Production
Let's explore key considerations, including model deployment, monitoring, and ongoing maintenance, to ensure smooth and efficient integration of ML models into real-world applications.With Pau Labarta, Mikiko Bazeley, Chanin Nantasenamat and Tawanda Nyahuye.
1 hr 29 min - EP 1 - The Challenges of Putting and Keeping ML Models in Production
From model deployment to monitoring and maintenance, in this episode, experts in the field share their war stories and offer practical advice on how to overcome the obstacles that often arise when deploying ML models.
With Stella Wu, Harpreet Sahota, Michael Galarnyk and Kirsten Lum.
1 hr 2 min
About Big Data, small talk
From the publisher's feed
Are you ready to dive deep into the world of artificial intelligence and data science? In this Podcast, some of the brightest minds in the industry cover a range of topics relevant to data scientists…
and professionals working in AI, from machine learning algorithms to big data analysis. Whether you're just starting in data science or are a seasoned pro, this show is for you!