Video description
Captricity has deployed a machine learning pipeline that can read handwriting at human-level accuracy. Ramesh Sridharan discusses the big ideas the company learned building and deploying this system, using data to identify specific problems to solve using AI and to evaluate and validate the algorithm itself and the overall system once deployed.
Product information
- Title: How Captricity built a human-level handwriting recognition engine using data-driven AI
- Author(s):
- Release date: July 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920423546
You might also like
book
Analytical Skills for AI and Data Science
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, …
book
Tiny Python Projects
The projects are tiny, but the rewards are big: each chapter in Tiny Python Projects challenges …
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …
book
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to …
