CIO Business Intelligence
OCTOBER 4, 2023
We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda. PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.
Analytics Vidhya
AUGUST 31, 2022
This article was published as a part of the Data Science Blogathon. Introduction The digital transformation has given rise to the release of massive amounts of data each second, and companies’ servers are not that powerful to bear the load.
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Cloudera
OCTOBER 17, 2017
Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.
O'Reilly on Data
NOVEMBER 8, 2018
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
Rocket-Powered Data Science
JULY 6, 2021
2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.
CIO Business Intelligence
JUNE 7, 2022
Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.
CONTACT Software
FEBRUARY 19, 2019
The idea of platforms for automatic data analysis comes at just the right time. However, data science is not an area where you can magically get ahead with a tool or even a platform. According to Karl Valentin: Platforms are beautiful and take a lot of work off your neck. Sounds good to me! That will never happen.
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