Sep 23–26, 2019

Anais Dotis
Developer Advocate, InfluxData

Anais Dotis-Georgiou is a developer advocate at InfluxData with a passion for making data beautiful using data analytics, AI, and machine learning. She takes the data that she collects and does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she’s not behind a screen, you can find her outside drawing, stretching, or chasing after a soccer ball.

Sessions

2:05pm–2:45pm Thursday, September 26, 2019

Location: 1A 08/10

When Holt-Winters is better than machine learning

Data Science, Machine Learning, & AI

Secondary topics: Temporal data and time-series analytics

Anais Dotis (InfluxData)

Machine learning (ML) gets a lot of hype, but its classical predecessors are still immensely powerful, especially in the time series space, and classical algorithms outperform machine learning methods in time series forecasting. Anais Dotis dives into how she used the Holt-Winters forecasting algorithm to predict water levels in a creek. Read more.