Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. E...
Overview
Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. Easily accessible and centrally located in the Hanseatic city steeped in tradition, this is the ideal location for our participants.
Arrival
The NobleProg training facilities are located in the middle of the Schanzenviertel. The nearest bus stops are "Schulterblatt" for Metrobus line 15 and "Sternbrücke" for Metrobus line 3. The nearest S-Bahn and U-Bahn stations are Sternschanze.
Parking
In the area along the Eifflerstrasse and the nearby side streets, cars can be parked, even if you have to search for a moment. There is no charge for parking..
Local Services
The Schanzenviertel offers a wide range of gastronomic options and with Pyjama Park, Hotel Boston and other small and medium-sized hotels, local accommodation is also possible.
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
Audience
Business managers
Format of the course
Lecture, case discussions and exercises
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Testimonials (3)
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
All the information presented
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
The exercises and examples presented.
Marcos - si
Course - Artificial Intelligence (AI) for Managers
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