Favorite Customers need machine learning (ML) models to detect objects that are interesting for their business. In most cases doing so is hard as these models needs thousands of labelled images and deep learning expertise. Generating this data can take months to gather, and can require large teams of labelers
Favorite Every day there is something new going on in the world of AWS Machine Learning—from launches to new use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each month. Check back at the end of each month
Favorite Sometimes, a phone call is the best way to get something done. We call retailers to locate missing packages, utilities to adjust our internet speeds, airlines to change our travel itineraries…the list goes on. But more often than not, we need to wait on hold during these calls—listening closely
Favorite This September, National Suicide Prevention Awareness Month feels different. Over the past nine months, LGBTQ youth have experienced unique challenges in relation to COVID-19.The pandemic has amplified existing mental health disparities and created new problems that have impacted the daily lives of many LGBTQ youth. As the world’s largest
Favorite Courtesy of Patrick Lambe, please find below my video related to KM and Covid, presented at the ISKO singapore meeting on KM and the Covid Crisis ISKO SG KM and Covid Event – Nick Milton from Patrick Lambe on Vimeo. View Original Source (nickmilton.com) Here.
Favorite Apache Spark is a unified analytics engine for large scale, distributed data processing. Typically, businesses with Spark-based workloads on AWS use their own stack built on top of Amazon Elastic Compute Cloud (Amazon EC2), or Amazon EMR to run and scale Apache Spark, Hive, Presto, and other big data
Favorite How do you know KM is failing in your organisation? This was a question raised yesterday at a workshop I ran a few years back at KM World. FAIL by amboo who? on Flickr Assuming you have introduced KM, embedded it into business processes, and the central KM team
Favorite Bidirectional Encoder Representations from Transformers (BERT) [1] has become one of the most popular models for natural language processing (NLP) applications. BERT can outperform other models in several NLP tasks, including question answering and sentence classification. Training the BERT model on large datasets is expensive and time consuming, and
Favorite A typical machine learning (ML) workflow involves processes such as data extraction, data preprocessing, feature engineering, model training and evaluation, and model deployment. As data changes over time, when you deploy models to production, you want your model to learn continually from the stream of data. This means supporting
Favorite AWS has expanded the availability of Amazon EC2 Inf1 instances to four new AWS Regions, bringing the total number of supported Regions to 11: US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, Paris), and South America (São Paulo). Amazon EC2
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