William Fletcher
Machine Learning Researcher, Datatonic

Will Fletcher is a machine learning (ML) researcher at Datatonic, where he concentrates on the technological progress of the company. He contributes an understanding of the most advanced methods in ML, along with experience in research and an eye for innovation. Previously, his academic career began as a chemist at Oxford; later, he moved to UCL for a further MSc in computational statistics and ML. Project and research work aside, Will delivers training days for companies to help them get started with ML. He believes in continuous education and learning as an essential part of technical excellence. This passion extends into his personal life, where he plays with math, programming and puzzles.

Sessions

11:50am–12:30pm Thursday, October 31, 2019

Location: Grand Ballroom H

Effective sampling methods within TensorFlow input functions

Applications

Laxmi Prajapat (Datatonic), William Fletcher (Datatonic)

Many real-world machine learning applications require generative or reductive sampling of data. Laxmi Prajapat and William Fletcher demonstrate sampling techniques applied to training and testing data directly inside the input function using the tf.data API. Read more.