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Comet Announces Convergence 2023, the Leading Conference to Explore the New Frontiers of Machine Learning

insideBIGDATA

Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced its second annual Convergence conference. The event, which is free to the ML community, will take place virtually March 7-8, 2023.

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2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

insideBIGDATA

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

Flipboard

The world’s leading publication for data science, AI, and ML professionals. In this article, I’ll walk you through a simple but powerful Python automation that selects the best machine learning models for your dataset automatically. You don’t need deep ML knowledge or tuning skills. Why Automate ML Model Selection?

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Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML Interactions.

ML @ CMU

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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Study Finds Data Quality is Still the Largest Obstacle for Successful AI and Greater Human Expertise Needed Across ML Ops Lifecycle

insideBIGDATA

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

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Lessons Learned After 6.5 Years Of Machine Learning

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Publish AI, ML & data-science insights to a global community of data professionals. Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Machine Learning Lessons Learned After 6.5 You want to train ML models. Why did I miss that?

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Label Classifier Market To Reach US$ 546.41 Billion By 2033

insideBIGDATA

billion in 2023 and US$ 546.41 The label classifier market is anticipated to increase significantly as AI and ML technologies become widely used. As per a new Fact.MR analysis, the global label classifier market is expected to be worth US$ 48.89 billion by 2033.

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