Online or onsite, instructor-led live Cognitive computing training courses in Maryland.
MD, Baltimore - Legg Mason Tower
100 International Drive 23rd Floor, Baltimore, united states, 21202
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home ...
A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination in Baltimore and part of the Downtown area - the base for many key businesses.
Cognitive computing refers to systems that encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, to name a few. A cognitive computing system is often comprised of multiple technologies working together to process in-memory 'hot' contextual data as well as large sets of 'cold' historical data in batch. Examples of such technologies include Kafka, Spark, Elasticsearch, Cassandra, and Hadoop.
In this instructor-led, live training, participants will learn how Cognitive Computing compliments AI and Big Data and how purpose-built systems can be used to realize human-like behaviors that improve the performance of human-machine interactions in business.
By the end of this training, participants will understand:
The relationship between cognitive computing and artificial intelligence (AI)
The inherently probabilistic nature of cognitive computing and how to use it as a business advantage
How to manage cognitive computing systems that behave in unexpected ways
Which companies and software systems offer the most compelling cognitive computing solutions
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