by Tomasz Bak and Fabio Kung Introduction Titus is the Netflix cloud container runtime that runs and manages containers at scale. In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. As the number …
Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. So, it is imperative to have a clear data quality strategy that relies on proactive data quality …
Read more “IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions”
Organizations are managing and analyzing large datasets every day, but many still need the right tools to generate data-driven insights. Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes. Meeting business goals with data insights By building on our …
Read more “Building a culture of data-driven decisions and insights with IBM Business Analytics”
Posted by Rishabh Agarwal, Senior Research Scientist, and Max Schwarzer, Student Researcher, Google Research, Brain Team Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games, flying stratospheric balloons, and designing hardware chips. …
Read more “Beyond Tabula Rasa: Reincarnating Reinforcement Learning”
Posted by Jacky Liang, Research Intern, and Andy Zeng, Research Scientist, Robotics at Google A common approach used to control robots is to program them with code to detect objects, sequencing commands to move actuators, and feedback loops to specify how the robot should perform a task. While these programs can be expressive, re-programming policies …
The last few years have seen rapid development in the field of deep learning. Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large deep learning models for applications such as natural language processing (NLP). In an …
Amazon SageMaker Data Wrangler is a UI-based data preparation tool that helps perform data analysis, preprocessing, and visualization with features to clean, transform, and prepare data faster. Data Wrangler pre-built flow templates help make data preparation quicker for data scientists and machine learning (ML) practitioners by helping you accelerate and understand best practice patterns for …
Read more “Use Github Samples with Amazon SageMaker Data Wrangler”
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, …
Read more “Transfer learning for TensorFlow object detection models in Amazon SageMaker”
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, …
Read more “Transfer learning for TensorFlow text classification models in Amazon SageMaker”
In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. We also discussed how to extract various types of documents in an …