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
video
AI Superstream Series: AI & ML in Production
One of the most consistent challenges for ML engineers is how to move from model to …
video
How DoorDash leverages AI in its world-class on-demand logistics engine
DoorDash is a last-mile delivery platform, and its logistics engine powers fulfillment of every delivery on …
video
Spot and overcome machine learning bottlenecks: Lessons from Baidu
A few months ago, Baidu deployed Alluxio to accelerate its big data analytics workload. Bin Fan …
book
Deep Learning with fastai Cookbook
Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions …