Text Analytics Using SAS Text Miner
This course describes the functionality of SAS Text Miner, which is a separately licensed component that is available for SAS Enterprise Miner. In this course, you learn to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.
The e-learning format of this course includes Virtual Lab time to practice.
SAS Visual Text Analytics in SAS Viya
SAS Visual Text Analytics enables you to uncover insights hidden within unstructured data using the combined power of natural language processing, machine learning, and linguistic rules. This course explores the five components of Visual Text Analytics: parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Documents are parsed and analyzed to reveal dominant themes in the document collection. Sophisticated linguistic queries are constructed to satisfy specific information needs. An integrated solution is developed using information extracted from subject matter expert rules, combined with machine learning results for model and rule-based topics and categories. The course includes hands-on use of SAS Viya in a distributed computing environment.
Deep Learning Using SAS Software
This course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, and recurrent networks. Neural networks are used to solve problems that include traditional classification, image classification, and sequence-dependent outcomes. The course contains a healthy mix of theory and application. Hands-on demonstration and practice problems are included to reinforce key concepts. Hyperparameter search methods are described and demonstrated to find an optimal set of deep learning models. Lastly, transfer learning is covered because the emergence of this field has shown promise in deep learning.
Practice Exam: Natural Language Processing and Computer Vision Specialist
This Certification is for data scientists, text and image analysts, AI specialists and others who analyze text and image data to recognize patterns. Successful candidates are familiar with SAS Model Studio for SAS Viya, SAS Visual Text Analytics, and SAS Data Mining and Machine Learning. They are skilled in tasks such as:
- Text topic detection
- Sentiment analysis
- Image processing
- Image classification
- Deep learning with static and dynamic data
