14–17 Oct 2019

pramod singh
Senior Machine Learning Engineer, Walmart Labs

Pramod Singh is a senior machine learning engineer at Walmart Labs. He has extensive hands-on experience in machine learning, deep learning, AI, data engineering, designing algorithms, and application development. He has spent more than 10 years working on multiple data projects at different organizations. He’s the author of three books Machine Learning with PySpark, Learn PySpark, and Learn TensorFlow 2.0. He’s also a regular speaker at major conferences such as the O’Reilly Strata Data and AI Conferences. Pramod holds a BTech in electrical engineering from BATU, and an MBA from Symbiosis University. He’s also done data science certification from IIM–Calcutta. He lives in Bangalore with his wife and three-year-old son. In his spare time, he enjoys playing guitar, coding, reading, and watching football.

Sessions

13:30–17:00 Tuesday, 15 October 2019

Location: Buckingham Room - Palace Suite

Text analytics 101: Deep learning and attention networks all the way to production

Implementing AI

Secondary topics: Deep Learning, Machine Learning, Text, Language, and Speech

pramod singh (Walmart Labs ), Akshay Kulkarni (Publicis Sapient)

Average rating:

(2.40, 10 ratings)

An estimated 80% of data generated is an unstructured format, such as text, an image, audio, or video. Vijay Srinivas Agneeswaran, Pramod Singh, and Akshay Kulkarni explore how to create a language model that generates natural language text by implementing and forming a recurrent neural network and attention networks built on top of TensorFlow 2.0. Read more.