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5 Upcoming DS/ML/AI/DE Online Conferences in 2021

Analytics Vidhya

The post 5 Upcoming DS/ML/AI/DE Online Conferences in 2021 appeared first on Analytics Vidhya. ArticleVideo Book Introduction The value of meeting people and interacting with people in a private space is one of the best ways to network.

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Top 14 Artificial Intelligence Startups to watch out for in 2021!

Analytics Vidhya

Overview Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases Here. The post Top 14 Artificial Intelligence Startups to watch out for in 2021! appeared first on Analytics Vidhya.

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How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

KDnuggets

AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!

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Racing into the future: How AWS DeepRacer fueled my AI and ML journey

AWS Machine Learning Blog

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Panic set in as we realized we would be competing on stage in front of thousands of people while knowing little about ML.

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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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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.