Ray Serveis a scalable model serving library built on top of the Ray distributed computing framework. It allows you to deploy your models as microservices and handles the underlying infrastructure, making it easy to scale and update your models. Ray Serve supports a wide range of ML frameworks a...
Building and maintaining machine learning (ML) models is moving out of the back office and closer to users in production. A feature store acts as a bridge between data and machine learning models, providing a consistent way for models to access data in both offline and online phases. It mana...
“DL Insight,” a new tool that helps data scientists to sharpen the accuracy of deep learning models by monitoring the deep learning training process and automatically adjusting parameters for peak performance. “We’re adding a set of tools to ease development for data scientists and we’re ad...
Machine learning is a subset of AI, which uses algorithms that learn from data to make predictions. These predictions can be generated through supervised learning, where algorithms learn patterns from existing data, or unsupervised learning, where they discover general patterns in data. ML models can...
Helps in processing machine learning algorithms Builds and visualizes machine learning models with ease Deploys methods such as regression (linear regression, trees, etc.), classification, and time-series forecasting for supervised learning Uses cluster analysis, association discovery, anomaly detection, ...
Until recently, there was no standard way to deploy, serve, monitor and govern models in production. This created silos that made integration work much more difficult. An MLOps framework is about using technologies to enable streamlined delivery of machine learning into the business or prod...
In IBM Watson Machine Learning, you can use popular tools, libraries, and frameworks to train and deploy machine learning models and functions. The environment for these models and functions is made up of specific hardware and software specifications. ...
With ProProfs Survey Maker, you can easily create and deployquizzes, polls, andfeedback forms, making it one of the most flexible user engagement tools. Similar to other good user engagement tools in the market, ProProfs Survey Maker also comes with a detailed, built-in reporting section and...
Transfer learning is mostly applied for training neural networks — models used for image or speech recognition, image segmentation, human motion modeling, etc. For example, if you were to open your analog of Amazon Go store, you would have to train and deploy object recognition models to let...
Creative content generation: From multiple design variations to animated videos, anAI content creation toolgenerates any type of media, including near-instant prototypes and product models. AI copywriting tools can be instrumental in finding inspiration, overcoming writer’s block, and reaching a substant...