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Why you should care about debugging machine learning models

O'Reilly Media - Data

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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Are you ready for MLOps? 🫵

Xebia

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]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2].

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Venture capital undermines human rights

TechCrunch

The future of technology is determined by a handful of venture capitalists. The world’s 10 leading venture capital firms have, together, invested over $150 billion in technology startups. As of 2019, 81% of all venture capital funds worldwide are clustered in just a handful of countries, primarily in the U.S.,

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Deci lands $25M for tech that makes AI models more efficient

TechCrunch

In 2019, Geifman co-founded Deci alongside Ran El-Yaniv and entrepreneur Jonathan Elial. But Deci has the backing of Intel, which last March announced a strategic business and technology collaboration with the startup to optimize machine learning on Intel processors. ” Image Credits: Deci. . Those are lofty claims.

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Resistant AI scores $16.6M for its anti-fraud fintech tools

TechCrunch

GV (formerly Google Ventures) led the round, with participation from existing investors Index Ventures (led by partner Jan Hammer), Credo Ventures (led by Ondrej Bartos and Vladislav Jez) and Seedcamp, plus several unnamed angel investors specializing in financial technology and security.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.

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How search accelerates your path to “AI first”

CIO

The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machine learning (ML)-based relevancy, vector/semantic search, and large language models (LLMs) helping organizations finally unlock the value of unanalyzed data. How did we get here?