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Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

KDnuggets

Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

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7 of The Coolest Machine Learning Topics of 2021 at ODSC West

KDnuggets

At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on.

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AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022

KDnuggets

2021 has almost come and gone. We saw some standout advancements in AI, Analytics, Machine Learning, Data Science, Deep Learning Research this past year, and the future, starting with 2022, looks bright. As per KDnuggets tradition, our collection of experts have contributed their insights on the matter.

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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. Lyft is a real-time marketplace and many teams benefit from enhancing their machine learning models with real-time signals.

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Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

KDnuggets

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Machine Learning Safety: Unsolved Problems

KDnuggets

There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.

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The Evolution of the Machine Learning Platform

Scribd Technology

Machine Learning Platforms (ML Platforms) have the potential to be a key component in achieving production ML at scale without large technical debt, yet ML Platforms are not often understood. Machine learning offers a fantastically powerful toolkit for building useful complex prediction systems quickly.