Machine Learning Technical Review Training 
TechCrunch
MAY 9, 2022
That consumer bet hasn’t paid off, but the company kept iterating on its natural language processing technology. Due to the success of this libary, Hugging Face quickly became the main repository for all things related to machine learning models — not just natural language processing.
O'Reilly Media - Data
DECEMBER 12, 2019
For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. We’ll review methods for debugging below.
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CIO
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
CIO
DECEMBER 3, 2024
A new area of digital transformation is under way in IT, say IT executives charged with unifying their tech strategy in 2025. Adopting emerging technology to deliver business value is a top priority for CIOs, according to a recent report from Deloitte. But that will change. “As
Xebia
FEBRUARY 28, 2025
Read along to learn more! Being ready means understanding why you need that technology and what it is. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. About being ready So, what does it mean to be ready ?
CIO
OCTOBER 14, 2024
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
CIO
OCTOBER 29, 2024
This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies. Stolen datasets can now be used to train competitor AI models. AI companies and machine learning models can help detect data patterns and protect data sets.
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