Practical AI: Machine Learning, Data Science, LLM cover image

Practical AI: Machine Learning, Data Science, LLM

scikit-learn & data science you own

Nov 19, 2024
Yann Lechelle, CEO at Probabl, and Guillaume Lemaitre, an open-source engineer, dive into the vital role of scikit-learn in data science. They explore the origins of Probabl, its commitment to advancing open-source technologies, and the impact of scikit-learn on various industries. The duo discusses the integration of large language models to enhance these tools, the importance of community engagement, and future goals for scikit-learn, including aspirations for a certification program and the ongoing journey of supporting newcomers in data science.
52:04

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Quick takeaways

  • Scikit-learn is a foundational tool in data science, pivotal for industries like finance and healthcare, emphasizing predictive modeling and simplicity.
  • Probable's governance model for Scikit-learn prioritizes open-source commitment and community engagement, ensuring the library's sustainable future and adaptability.

Deep dives

Introduction to Timescale and AI Development

Timescale is a company focused on enhancing the capabilities of PostgreSQL for developers, particularly in time series analytics and AI applications. The tools they provide allow developers to leverage their existing knowledge of PostgreSQL while creating advanced AI applications. This integration streamlines the development process, enabling developers to build projects without the need to master a completely new technology stack. With open-source projects like PGAI and PGVectorScale, Timescale empowers developers to explore AI development using familiar tools.

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