Description
Welcome back to another episode of Continuous Improvement! I'm your host, Victor Leung, and today, we're diving into a crucial concept in statistical analysis and machine learning—stationarity, especially in the context of time series data. We'll explore what stationarity is, why it matters, and how we can test for it using the Augmented Dickey—Fuller (ADF) test. So, if you're dealing with financial data or any time series data, this episode is for you!
Welcome back to "Continuous Improvement," the podcast where we explore tools, techniques, and stories that help us all get better, one step at a time. I'm your host, Victor Leung, and today we're diving into the world of static site generators—specifically, my journey from Gatsby to Astro and why...
Published 08/25/24
Hello, and welcome to another episode of "Continuous Improvement," the podcast where we explore the latest trends and insights in technology, innovation, and leadership. I'm your host, Victor Leung. Today, we're diving into a fascinating area of machine learning—Reinforcement Learning, often...
Published 08/24/24