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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

This increases the time it takes for customers to go from data to insights. Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects.

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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Spotify Million Playlist Released for RecSys 2018, this dataset helps analyze short-term and sequential listening behavior. Read the original article at Turing Post , the newsletter for over 90 000 professionals who are serious about AI and ML. Yelp Open Dataset Contains 8.6M reviews, but coverage is sparse and city-specific.

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The most important unanswered questions of 2018 in Artificial Intelligence (AI) and Machine Learning (ML)

Dataconomy

Here is what a recent whitepaper by Dataiku reveals about Artificial intelligence and machine learning emphasising on the role of data scientists. This is the first part of an article series based on a whitepaper by Dataiku) The year 2018 was supposed to be the one. Let’s find out.

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Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

ODSC - Open Data Science

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Our goal is to enable all developers to find and fix data issues as effectively as today’s best data scientists.

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Tensor Processing Units (TPUs)

Dataconomy

They are essential for processing large amounts of data efficiently, particularly in deep learning applications. By 2018, these powerful tools were made available for third-party use, marking a significant milestone in the accessibility of high-performance computing resources.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning Blog

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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How to optimize your LinkedIn as a Data Scientist?

Pickl AI

Whether you are a Data Scientist or a college student, the LinkedIn platform can give you a plethora of options to explore and grow. In this blog, we will be uncovering the how you can optimize Data Scientist LinkedIn profile for Indian market , as well as approach a global audience.