Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled p ... Show More
Jul 2024
#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds
The role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with ... Show More
48m 44s
Aug 2024
AI in Action: From Machine Learning Interpretability to Cybersecurity with Serg Masís and Nirmal Budhathoki
In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fa ... Show More
25m 37s
Nov 2024
SE Radio 641: Catherine Nelson on Machine Learning in Data Science
<p><strong>Catherine Nelson</strong>, author of the new O'Reilly book, <em data-renderer-mark="true">Software Engineering for Data Scientists</em>, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and ... Show More
48m 19s
Sep 2024
#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems
With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also deliv ... Show More
46m 42s
Jan 2022
MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes
<div> <p>Machine learning pipeline orchestration tools, such as SageMaker and Kubeflow, streamline the end-to-end process of data ingestion, model training, deployment, and monitoring, with Kubeflow providing an open-source, cross-cloud platform built atop Kubernetes. Organizatio ... Show More
1h 8m
Nov 2023
SE Radio 588: José Valim on Elixir, Machine Learning, and Livebook
<p><strong>José Valim</strong>, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host <a href= "https://www.se-radio.net/team/gavin-henry/">Gavin Henry</a> about what Elixir is today, what L ... Show More
1h 3m
Jul 2024
Low-Code Magic: Can It Transform Analytics? (Ep. 260)
<p>Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms.
Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs.
David shares insights on overcoming common challenges, enhancing data governa ... Show More
33m 45s