CIO Business Intelligence
MARCH 10, 2022
IBM’s current mainframe models, the z15 T01 and z15 T02, were introduced in September 2019 and May 2020 respectively, and the company still offers follow-on service for machines right back to the zEC12 released in September 2012. The z900 also had one of the longest periods of follow-on service, at 8.5
Corinium
JUNE 6, 2019
Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. What is the most common mistake people make around data?
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Domino Data Lab
JUNE 13, 2019
Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?
The Unofficial Google Data Science Blog
APRIL 23, 2024
To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.
Data Science and Beyond
APRIL 5, 2021
The Australian bushfires of 2019-20 provided me with extra motivation to help nudge Automattic to do more in the fight against climate change. Finally, I was surprised and honoured to receive the Scoresby Shepherd Award for doing the most RLS surveys in the 2019-20 financial year. Only time will tell. Sustainability.
O'Reilly on Data
MARCH 31, 2020
This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. Spring 2019 Full Stack Deep Learning Bootcamp (Berkeley).
CIO Business Intelligence
JUNE 27, 2022
We rely heavily on automated testing. You pointed to frontend as a key area in 2019. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here. Tyson: That belief in your vision when it’s tested—that is tough! I thought, really?!
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