Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepare your data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action. Your models get to production faster with much less effort and lower cost.
Collect and prepare training data : Label training data fast Amazon SageMaker Ground Truth helps you build and manage highly accurate training datasets quickly. Ground Truth offers easy access to public and private human labelers and provides them with pre-built workflows and interfaces for common labeling tasks. Additionally, Ground Truth will learn from human labels to make high quality, automatic annotations to significantly lower labeling costs.
Hosted notebooks : Fully-managed Jupyter notebooks that you can use in the cloud or bring notebooks from your local environment to explore and visualize your data and develop your model. In addition to starting from scratch, you can choose from dozens of pre-built notebooks that you can use as-is, or modify to suit your specific needs, to make it easy to explore and visualize your training data quickly. Solutions are available for many common problems such as recommendations and personalization, fraud detection, forecasting, image classification, churn prediction, customer targeting, log processing and anomaly detection, and speech-to-text.
Choose and optimize your machine learning algorithm : Amazon SageMaker automatically configures and optimizes TensorFlow, Apache MXNet, PyTorch, Chainer, Scikit-learn, SparkML, Horovod, Keras, and Gluon. Commonly used machine learning algorithms are built-in and tuned for scale, speed, and accuracy with over 200 additional pre-trained models and algorithms available in AWS Marketplace. You can also bring any other algorithm or framework by building it into a Docker container.
With Amazon SageMaker, we can accelerate our Artificial Intelligence initiatives at scale by building and deploying our algorithms on the platform. We will create novel large-scale machine learning and AI algorithms and deploy them on this platform to solve complex problems that can power prosperity for our customers, #Adzglobe Team#