This blog post is a first of a series on how to leverage PyTorch’s ecosystem tools to easily jumpstart your ML / DL project. The first part of this blog describes common problems appearing when developing ML / DL solutions, and the second describes a simple image classification example demonstrating how to use Allegro Trains and PyTorch to address those problems.
This blog was written in partnership with Navdeep Alam, Senior Director, Global Data Warehouse, IQVIA Healthcare is unique. It isn’t defined like other businesses by how much revenue can be generated, but more in terms of achieving positive health outcomes, better value, and saving lives through the rapid development of new treatments and therapies.
Survival analysis is one of the most developed fields of statistical modeling, with many real-world applications. In the realm of mobile apps and games, retention is one of the initial focuses of the publisher once the app or game has been launched. And it remains a significant focus throughout most of the lifecycle of any endeavor.
With Fivetran, Intercom centralizes its Zuora data into Redshift and joins it with product, marketing, sales and additional financial data for reports and dashboards.
Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.