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Getting Started with AI

Towards AI

Any competent software engineer can implement any algorithm. Even if you are an experienced AI/ML engineer, you should know the performance of simpler models on your dataset/problem. References [1] Artificial Intelligence Engineering [2] J. Brownlee, “ Applied Machine Learning Process,” Machine Learning Mastery, Feb.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

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Explain text classification model predictions using Amazon SageMaker Clarify

AWS Machine Learning Blog

Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models. It is constructed by selecting 14 non-overlapping classes from DBpedia 2014. Specifically, we use the DBpedia ontology dataset as created by Zhang et al.

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Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He has over 30 publications and more than 20 patents in machine learning and NLP.

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Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He has over 30 publications and more than 20 patents in machine learning and NLP.

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The 11 Top AI Influencers to Watch in 2024 (Guide)

Viso.ai

Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. His doctoral thesis studied the design of convolutional/recurrent neural networks and their applications across computer vision, natural language processing, and their intersections.