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Duration: 1 Days*
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Cognitive Computing simulates the thought processes of humans. It uses deep-learning or self-learning algorithms backed by natural language processing, big data, and artificial intelligence. Cognitive Computing solves complicated problems characterised by uncertainty and ambiguity. It synthesises data from different information sources, while weighing context and conflicting evidence to advise the best possible answers.
This Cognitive Computing Training is designed to equip delegates with in-depth knowledge on how Cognitive Computing works. Delegates will learn about artificial neural network and symbolic representation of facts and rules. During this 1-day training course, delegates will become familiarised with the basics of linguistics. In addition, delegates will gain knowledge of supervised learning, unsupervised learning, and linear regression. Post completion of this training, delegates will be able to use spaCy for assigning part of speech tags and entity recognition.
Introduction to Cognitive Computing
Basics of Linguistics
Cognitive Computing – Practical Applications
Introduction to Machine Learning
TensorFlow for Implementing Deep Neural Networks
Tools and Techniques – Natural Language Processing
There are no prerequisites for attending this course.
Anyone interested in learning how cognitive computing works with machine learning, deep neural networks, and NLP can attend this course.
Duration: 1 Days*
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell