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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. There are several known attacks against machine learning models that can lead to altered, harmful model outcomes or to exposure of sensitive training data. [8] 2] The Security of Machine Learning. [3]

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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. But we have to bring in the right talent.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 158
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Top tech trends powering the Middle East’s digital evolution by 2025

CIO

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. How do you foresee artificial intelligence and machine learning evolving in the region in 2025?

Trends 122
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Machine Learning and Deep Learning: How Does Machine Learning Work?

G2 Crowd Software

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. For most people, these terms are alienating because many people don’t have an understanding of what machine learning and deep learning are.

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Machine Learning at scale: first impressions of Kubeflow

OpenCredo

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

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The State of the Octoverse: machine learning

Github

In our 2018 Octoverse report, we noticed machine learning and data science were popular topics on GitHub. We decided to dig a little deeper into the state of machine learning and data science on GitHub. Julia, R, and Scala all appear in the top 10 for machine learning projects but not for GitHub overall.