Automating Cyber-Security with Reinforcement Learning
An investigation of how reinforcement learning is impacting cyber-security and how businesses can proactively test for security with automated agents.
Dr. Phil Winder
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7 minMore articles
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Dr. Phil Winder
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7 min
CloudNativeX Interview: Reinforcement Learning
Join Lee Razo and Phil Winder for this comprehensive introduction to Reinforcement Learning, an area of machine learning in which problems are tackled with …
The Future of Transportation Infrastructure: Reinforcement Learning
An investigation in to the proven uses of reinforcement learning for transportation and associated infrastructure.
Dr. Phil Winder
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7 min
InfoQ Podcast: Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning
InfoQ · Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning Charles Humble, friend and editor of InfoQ, was kind enough to …
Solving Three Common Manufacturing Problems with Reinforcement Learning
Discover how reinforcement learning can be used to solve three common manufacturing problems.
Dr. Phil Winder
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5 min
Inventory Control and Supply Chain Optimization with Reinforcement Learning
Discover how reinforcement learning can be used to solve inventory control and supply chain management problems.
Dr. Phil Winder
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6 min
DataTalksClub - Industrial Applications of Reinforcement Learning
Reinforcement learning (RL), a sub-discipline of machine learning, has been gaining academic and media notoriety after hyped marketing “reveals” of agents …
GOTO Book Club: How to Leverage Reinforcement Learning
In this episode of GOTO’s book club I speak to Rebecca Nugent, Feinberg professor of statistics and data science at Carnegie Mellon univeristy. We talk, …
A Code-Driven Introduction to Reinforcement Learning
In this presentation I present a code-driven introduction to RL, where you will explore a fundamental framework called the Markov decision process (MDP) and learn how to build an RL algorithm to solve it.
5 Productivity Tips for Data Scientists
As the global demand for data science grows, the responsibilities of data scientists increase by the day. This article investigates five ways to increase your productivity.
Janet Miller
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