ML, RL and MLOps Events by Winder.AI

Up-to-date list of future events by the Winder.AI team.

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How Social Media Companies Use MLOps to Protect Users

How Social Media Companies Use MLOps to Protect Users

Tue Mar 21, 2023, by Phil Winder, in MLOps, Talk, Case Study

When: Tue Mar 21, 2023 at 16:30 UTC Where: Linkedin Live Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Placholder: Updated after publication. Register Now About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.AI, Author of O’Reilly’s Reinforcement Learning and one of the founders of the MLOps Community, covering a range of topics about the use of machine learning operations (MLOps), reinforcement learning (RL), and machine learning (ML) in industry today.

Previous Events

Some of our most recent talks. You can find more on our blog.

Do you like DAGs? Implementing a Graph Executor for Bacalhau

Winder.AI helped Protocol Labs, a technology company in the crypto space, to help develop Bacalhau, a novel decentralised computational platform that focuses on the AI lifecycle. This case study describes some of our work to develop this project but for more information view the Bacalhau website.

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How Social Media Companies Use MLOps to Protect Users

When: Tue Mar 21, 2023 at 16:30 UTC Where: Linkedin Live Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Placholder: Updated after publication. Register Now About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.AI, Author of O’Reilly’s Reinforcement Learning and one of the founders of the MLOps Community, covering a range of topics about the use of machine learning operations (MLOps), reinforcement learning (RL), and machine learning (ML) in industry today.
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RL Presentation: How to Overcome Reinforcement Learning Challenges

This presentation discusses some of the greatest challenges for a reinforcement learning project. I will share some of the challenges we have faced and how we have overcome them. You’ll learn what to look out for and how that affects the planning process.
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