Laxmi Prajapat
Senior Data Scientist, Datatonic

Laxmi Prajapat is a senior data scientist at Datatonic, with involvement in end-to-end project delivery, including stakeholder management, data exploration, machine learning, algorithm design, automation, and productionization solutions on Google Cloud. After a masters in astrophysics from UCL, Laxmi has held several technical roles in industry. She’s at her happiest when learning new things and challenging herself. Laxmi is always looking to expand her knowledge and apply it practically, especially in the fields of machine learning and engineering. Outside of work, she enjoys exploring new cuisines or finding a book to get lost in.

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.