Favorite At AWS, we have been investing in healthcare since Day 1 with customers including Moderna, Rush University Medical Center, and the NHS who have built breakthrough innovations in the cloud. From developing public health analytics hubs, to improving health equity and patient outcomes, to developing a COVID-19 vaccine in just
Read More
Shared by AWS Machine Learning November 15, 2022
Favorite In machine learning (ML), data quality has direct impact on model quality. This is why data scientists and data engineers spend significant amount of time perfecting training datasets. Nevertheless, no dataset is perfect—there are trade-offs to the preprocessing techniques such as oversampling, normalization, and imputation. Also, mistakes and errors
Read More
Shared by AWS Machine Learning November 15, 2022
Favorite Data is transforming every field and every business. However, with data growing faster than most companies can keep track of, collecting data and getting value out of that data is a challenging thing to do. A modern data strategy can help you create better business outcomes with data. AWS
Read More
Shared by AWS Machine Learning November 15, 2022
Favorite Technology has an unmistakable impact on society — the way we work, learn and play have all changed significantly over the past decade. As SVP of Technology and Society, part of my work at Google is connecting people and ideas to help shape the future of our most ambitious
Read More
Shared by Google AI Technology November 15, 2022
Favorite There are 4 main stakeholder groupings for internal-facing Knowledge Management, and you need to create value propositions for each of the 4. Implementing Knowledge Management is a change process; changing hearts and minds, attitudes and beliefs, and work patterns across the organisation. In many ways, the role of the
Read More
Shared by Nick Milton November 15, 2022
Favorite Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that come from Graviton chips. Graviton-based instances are available for model inference in SageMaker. This post helps you migrate and deploy a machine learning (ML) inference
Read More
Shared by AWS Machine Learning November 14, 2022
Favorite Amazon SageMaker Data Wrangler helps you understand, aggregate, transform, and prepare data for machine learning (ML) from a single visual interface. It contains over 300 built-in data transformations so you can quickly normalize, transform, and combine features without having to write any code. Data science practitioners generate, observe, and
Read More
Shared by AWS Machine Learning November 14, 2022
Favorite In 2018, we launched Google’s AI Principles to ensure we’re building AI that not only solves important problems and helps people in their daily lives, but also AI that is ethical, fair and safe. At the same time, we launched a central Responsible Innovation team to ensure the rest
Read More
Shared by Google AI Technology November 14, 2022
Favorite To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use it every day to learn and experiment with ML for free. We made it simple to get started with just an email address, without the
Read More
Shared by AWS Machine Learning November 11, 2022
Favorite Business analysts work with data and like to analyze, explore, and understand data to achieve effective business outcomes. To address business problems, they often rely on machine learning (ML) practitioners such as data scientists to assist with techniques such as utilizing ML to build models using existing data and
Read More
Shared by AWS Machine Learning November 10, 2022
Shared by AWS Machine Learning November 15, 2022
Shared by 
Shared by 
