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Learn AI Together — Towards AI Community Newsletter #18

Towards AI

Elymsyr wants to develop new projects to improve their ML, RL, computer vision, and co-working skills. In this article, the author aims to share his experience as a software engineer using a question-driven approach to designing an LLM-powered application. Dianasanimals is looking for students to test several free chatbots.

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First ODSC Europe 2023 Sessions Announced

ODSC - Open Data Science

Learn about the flow, difficulties, and tools for performing ML clustering at scale Ori Nakar | Principal Engineer, Threat Research | Imperva Given that there are billions of daily botnet attacks from millions of different IPs, the most difficult challenge of botnet detection is choosing the most relevant data.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning Blog

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. You follow the same process of data ingestion, training, and creating a batch inference job as in the previous use case.

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Up Your Machine Learning Game With These ODSC East 2024 Sessions

ODSC - Open Data Science

Andre Franca | CTO | connectedFlow Join this session to demystify the world of Causal AI, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. By the end of this session, you’ll have a practical blueprint to efficiently harness feature stores within ML workflows.

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Azure Data Engineer Jobs

Pickl AI

The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. Data Engineering is one of the most productive job roles today because it imbibes both the skills required for software engineering and programming and advanced analytics needed by Data Scientists.

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Deliver your first ML use case in 8–12 weeks

AWS Machine Learning Blog

Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. Challenges Customers may face several challenges when implementing machine learning (ML) solutions.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.