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SAS® Text Analytics Learning Subscription

EDU Trainings s.r.o.

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Combining natural language processing, machine learning, and linguistic rules, SAS offers several text analytics tools to help you uncover emerging trends, spot opportunities for action, and unlock the value of unstructured text data.
SAS Products Covered

SAS Text Miner
SAS Text Analytics Common Components
SAS Enterprise Miner
SAS Visual Text Analytics
SAS Viya
SAS Visual Data Mining and Machine Learning About 90% of all data is unstructured. And it’s growing fast. This learning subscription is designed for statisticians, business analysts, marketing analysts, and researchers who incorporate free-format textual data in their analyses and students of data mining who want to learn about text analytics and text mining. Whether you are using the latest technology at SAS, SAS Visual Text Analytic on the SAS Viya platform or SAS Text Miner available for SAS Enterprise Miner, we have you covered.
Learn how to:

Describe and create the data structure needed for text analytics.
Perform text analytics to analyze large, human-generated unstructured text.
Discover trends and opportunities to unlock value in your text data.
Build models using deep learning techniques.
Use deep learning models to solve problems that include traditional classification, image classification, and sequence-dependent outcomes.

Obsah kurzu

Includes the following on-demand courses:


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

 
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