The Winder.AI Blog

The Winder.AI Blog: Field Notes on Applied AI

Field notes on applied AI from the Winder.AI team. Practical writing on building production AI, drawn from our consulting and research work.

All Machine Learning Talk Case Study Workshop Language Models (LLM)

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Reinforcement Learning

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, …

Reinforcement Learning

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.

Data Science

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 / 5 min

Data Science

Unit Testing Data: What is it and how do you do it?

Reap the benefits of your raw data through learning the importance of unit testing, how to apply it, and what tools to use for enhanced data quality.

Hajar Khizou / 8 min

Data Science

Improving Data Science Strategy at Neste

Learn how Winder.AI defined Neste's Data Science strategy.

Dr. Phil Winder / 3 min

Cloud Native

How We Work With Cloud-Native Data Science: An Interview With Phil Winder

As a business, how should you embark on a data science project? Should you be using cloud-native technologies? In this interview, Phil Winder discusses how he operates with other businesses to build businesses of the future.

Dr. Phil Winder / 5 min