Building a State of the Art Bacterial Classifier with Fast.ai and Paperspace
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
Explore how our customers use TiDB to handle their mission-critical workloads.
Oscar Wilde once said, “it’s an odd thing but anyone who disappears is said to be in San Francisco.” Indeed, with the weather, view, and diversity, San Francisco is one of the most beautiful cities in the U.S. But then, every city has a dark side, and San Francisco is no exception. San Francisco, as […]
Did you ever imagine that an “Ice Cream” could shake the entire General Motors? In 2010, the Pontiac Division of General Motors received a very funny complaint from one of its customers. It was so weird & bizarre that it took the entire General Motors by storm. However, on reading the entire Case, this definitely
YugabyteDB 2.0 released. Read to learn about production-ready YSQL, performance benchmarks, Jepsen results, and Beta feature previews
2019-09-05: YugaByte’s blog post states YugaByte DB “passes Jepsen tests”. We feel obligated to state that YugaByte DB’s Jepsen test suite does not pass, though it may in the future. Race conditions in YugaByte DB’s schema system can cause correctness errors. For example, inserting rows into a freshly-created table…
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang…
In order to increase productivity of data scientists and research scientists at Lyft, we developed a data discovery application built on…
How Instacart uses Machine Learning to spot lost demand in its fulfillment chain
Experience zero data sprawl with EDB Postgres AI. Capable of handling 30B+ trades a day and managing 50 TB.