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  1. NLP Training
  2. NLP Training in Aberdeen

NLP Training in Aberdeen

NLP Training in Aberdeen

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

NobleProg instructor-led live Natural Language Process (NLP) training courses demonstrate through interactive discussion and hands-on practice how to extract insights and meaning from this data. Utilizing different programming languages such as Python and R and Natural Language Processing (NLP) libraries, our trainings combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to help participants understand the meaning behind text data. NLP trainings walk participants step-by-step through the process of evaluating and applying the right algorithms to analyze data and report on its significance.

NLP training is available in various formats, including onsite live training and remote live training. Onsite live training can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is available by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Aberdeen - Berry Street

Regus Aberdeen Berry Street
1 Berry Street
Aberdeen, ABD AB25 1HF
United Kingdom
See map: Google Maps
Aberdeenshire GB
Aberdeen - Berry Street
The Berry Street Centre occupies a three-storey 1950s building, which has recently been refurbished to a high specification. It is in a prominent and convenient location in the heart of Aberdeen's busy and thriving retail and business area and close to all amenities. The off-shore oil capital of... Read more

Client Testimonials

I did like the exercises

- Office for National Statistics

Course Name: Natural Language Processing with Python

Topic selection. Style of training. Practice orientation

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Topic selection. Style of training. Practice orientation

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

I liked the opportunities to ask questions and get more in depth explanations of the theory.

Sharon Ruane - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Very good all round overview.Good background into why Tensorflow operates as it does.

Kieran Conboy - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

I was amazed at the standard of this class - I would say that it was university standard.

David Relihan - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Knowledgeable trainer

Sridhar Voorakkara - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

The trainer very easily explained difficult and advanced topics.

Leszek K PwC Polska Sp. z o. o

.

Course Name: Artificial Intelligence Overview

Translated by Google Translated

Trener bardzo zrozumiale wytłumaczył trudne i zaawansowane tematy.

Leszek K - PwC Polska Sp. z o.o.

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Course Name: Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple

Translated by Google Translated

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Previous Next

NLP Course Events - Aberdeen

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
tsflw2v Natural Language Processing with TensorFlow Aberdeen - Berry Street 35 hours Mon, 2018-05-07 09:30 £6500 / £8150
python_nltk Natural Language Processing with Python Aberdeen - Berry Street 28 hours Mon, 2018-05-07 09:30 £5200 / £6520
dlfornlp Deep Learning for NLP (Natural Language Processing) Aberdeen - Berry Street 28 hours Mon, 2018-05-14 09:30 £5200 / £6520
nlg Python for Natural Language Generation Aberdeen - Berry Street 21 hours Wed, 2018-05-16 09:30 £3900 / £4890
pythontextml Python: Machine Learning with Text Aberdeen - Berry Street 21 hours Thu, 2018-05-17 09:30 £3900 / £4560
NPL_LBG Natural Language Processing - AI/Robotics Aberdeen - Berry Street 21 hours Tue, 2018-05-22 09:30 £3900 / £4890
chatbotpython Building Chatbots in Python Aberdeen - Berry Street 21 hours Tue, 2018-05-22 09:30 £3300 / £4290
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Aberdeen - Berry Street 28 hours Tue, 2018-05-29 09:30 £5200 / £6520
nlp Natural Language Processing Aberdeen - Berry Street 21 hours Tue, 2018-05-29 09:30 £3900 / £4890
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Aberdeen - Berry Street 21 hours Tue, 2018-06-12 09:30 £3900 / £4890
nlpwithr NLP: Natural Language Processing with R Aberdeen - Berry Street 21 hours Wed, 2018-06-13 09:30 £3900 / £4890
w2vdl4j NLP with Deeplearning4j Aberdeen - Berry Street 14 hours Wed, 2018-06-13 09:30 £2600 / £3260
aiint Artificial Intelligence Overview Aberdeen - Berry Street 7 hours Fri, 2018-06-15 09:30 £1300 / £1630
opennlp OpenNLP for Text Based Machine Learning Aberdeen - Berry Street 14 hours Thu, 2018-06-21 09:30 £2600 / £3260
tsflw2v Natural Language Processing with TensorFlow Aberdeen - Berry Street 35 hours Mon, 2018-07-02 09:30 £6500 / £8150
python_nltk Natural Language Processing with Python Aberdeen - Berry Street 28 hours Mon, 2018-07-02 09:30 £5200 / £6520
nlg Python for Natural Language Generation Aberdeen - Berry Street 21 hours Mon, 2018-07-09 09:30 £3900 / £4890
pythontextml Python: Machine Learning with Text Aberdeen - Berry Street 21 hours Mon, 2018-07-09 09:30 £3900 / £4890
textsum Text Summarization with Python Aberdeen - Berry Street 14 hours Tue, 2018-07-10 09:30 £2200 / £2860
dlfornlp Deep Learning for NLP (Natural Language Processing) Aberdeen - Berry Street 28 hours Tue, 2018-07-10 09:30 £5200 / £6520
NPL_LBG Natural Language Processing - AI/Robotics Aberdeen - Berry Street 21 hours Tue, 2018-07-17 09:30 £3900 / £4890
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Aberdeen - Berry Street 28 hours Tue, 2018-07-24 09:30 £5200 / £6520
nlp Natural Language Processing Aberdeen - Berry Street 21 hours Tue, 2018-07-24 09:30 £3900 / £4890
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Aberdeen - Berry Street 21 hours Tue, 2018-08-07 09:30 £3900 / £4890
nlpwithr NLP: Natural Language Processing with R Aberdeen - Berry Street 21 hours Mon, 2018-08-13 09:30 £3900 / £4890
w2vdl4j NLP with Deeplearning4j Aberdeen - Berry Street 14 hours Tue, 2018-08-14 09:30 £2600 / £3260
chatbotpython Building Chatbots in Python Aberdeen - Berry Street 21 hours Wed, 2018-08-15 09:30 £3300 / £4290
aiint Artificial Intelligence Overview Aberdeen - Berry Street 7 hours Wed, 2018-08-15 09:30 £1300 / £1630
opennlp OpenNLP for Text Based Machine Learning Aberdeen - Berry Street 14 hours Thu, 2018-08-16 09:30 £2600 / £3260
tsflw2v Natural Language Processing with TensorFlow Aberdeen - Berry Street 35 hours Mon, 2018-09-03 09:30 £6500 / £8150
pythontextml Python: Machine Learning with Text Aberdeen - Berry Street 21 hours Mon, 2018-09-03 09:30 £3900 / £4890
python_nltk Natural Language Processing with Python Aberdeen - Berry Street 28 hours Tue, 2018-09-04 09:30 £5200 / £6520
nlg Python for Natural Language Generation Aberdeen - Berry Street 21 hours Mon, 2018-09-10 09:30 £3900 / £4890
textsum Text Summarization with Python Aberdeen - Berry Street 14 hours Mon, 2018-09-10 09:30 £2200 / £2860
NPL_LBG Natural Language Processing - AI/Robotics Aberdeen - Berry Street 21 hours Tue, 2018-09-18 09:30 £3900 / £4890
dlfornlp Deep Learning for NLP (Natural Language Processing) Aberdeen - Berry Street 28 hours Tue, 2018-09-18 09:30 £5200 / £6520
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Aberdeen - Berry Street 28 hours Tue, 2018-09-25 09:30 £5200 / £6520
nlp Natural Language Processing Aberdeen - Berry Street 21 hours Wed, 2018-09-26 09:30 £3900 / £4890
aiint Artificial Intelligence Overview Aberdeen - Berry Street 7 hours Tue, 2018-10-09 09:30 £1300 / £1630
nlpwithr NLP: Natural Language Processing with R Aberdeen - Berry Street 21 hours Mon, 2018-10-15 09:30 £3900 / £4890
opennlp OpenNLP for Text Based Machine Learning Aberdeen - Berry Street 14 hours Wed, 2018-10-17 09:30 £2600 / £3260
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Aberdeen - Berry Street 21 hours Wed, 2018-10-17 09:30 £3900 / £4890
w2vdl4j NLP with Deeplearning4j Aberdeen - Berry Street 14 hours Thu, 2018-10-18 09:30 £2600 / £3260
pythontextml Python: Machine Learning with Text Aberdeen - Berry Street 21 hours Wed, 2018-10-24 09:30 £3900 / £4890
tsflw2v Natural Language Processing with TensorFlow Aberdeen - Berry Street 35 hours Mon, 2018-10-29 09:30 £6500 / £8150
chatbotpython Building Chatbots in Python Aberdeen - Berry Street 21 hours Mon, 2018-10-29 09:30 £3300 / £4290
python_nltk Natural Language Processing with Python Aberdeen - Berry Street 28 hours Mon, 2018-10-29 09:30 £5200 / £6520
textsum Text Summarization with Python Aberdeen - Berry Street 14 hours Tue, 2018-10-30 09:30 £2200 / £2860
nlg Python for Natural Language Generation Aberdeen - Berry Street 21 hours Mon, 2018-11-05 09:30 £3900 / £4890
dlfornlp Deep Learning for NLP (Natural Language Processing) Aberdeen - Berry Street 28 hours Mon, 2018-11-12 09:30 £5200 / £6520
NPL_LBG Natural Language Processing - AI/Robotics Aberdeen - Berry Street 21 hours Wed, 2018-11-14 09:30 £3900 / £4890

Course Outlines

Code Name Duration Outline
NPL_LBG Natural Language Processing - AI/Robotics 21 hours

This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python

chatbotpython Building Chatbots in Python 21 hours

ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions.

In this instructor-led, live training, participants will learn how to build chatbots in Python.

By the end of this training, participants will be able to:

  • Understand the fundamentals of building chatbots
  • Build, test, deploy, and troubleshoot various chatbots using Python

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.
aiint Artificial Intelligence Overview 7 hours

This course has been created for managers, solutions architects, innovation officers, CTOs, software architects and anyone who is interested in an overview of applied artificial intelligence and the nearest forecast for its development.

nlp Natural Language Processing 21 hours

This course has been designed for people interested in extracting meaning from written English text, though the knowledge can be applied to other human languages as well.

The course will cover how to make use of text written by humans, such as  blog posts, tweets, etc...

For example, an analyst can set up an algorithm which will reach a conclusion automatically based on extensive data source.

python_nltk Natural Language Processing with Python 28 hours This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
w2vdl4j NLP with Deeplearning4j 14 hours

Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on distributed GPUs and CPUs.

Word2Vec is a method of computing vector representations of words introduced by a team of researchers at Google led by Tomas Mikolov.

Audience

This course is directed at researchers, engineers and developers seeking to utilize Deeplearning4J to construct Word2Vec models.

tsflw2v Natural Language Processing with TensorFlow 35 hours

TensorFlow™ is an open source software library for numerical computation using data flow graphs.

SyntaxNet is a neural-network Natural Language Processing framework for TensorFlow.

Word2Vec is used for learning vector representations of words, called "word embeddings". Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Chapter 3.1 and 3.2 in Mikolov et al.).

Used in tandem, SyntaxNet and Word2Vec allows users to generate Learned Embedding models from Natural Language input.

Audience

This course is targeted at Developers and engineers who intend to work with SyntaxNet and Word2Vec models in their TensorFlow graphs.

After completing this course, delegates will:

  • understand TensorFlow’s structure and deployment mechanisms
  • be able to carry out installation / production environment / architecture tasks and configuration
  • be able to assess code quality, perform debugging, monitoring
  • be able to implement advanced production like training models, embedding terms, building graphs and logging
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example 28 hours

This course will give you knowledge in neural networks and generally in machine learning algorithm,  deep learning (algorithms and applications).

This training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Teano, DeepDrive, Keras, etc. The examples are made in TensorFlow.

aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP 21 hours

This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP.

nlpwithr NLP: Natural Language Processing with R 21 hours

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Audience
    Linguists and programmers

Format of the course
    Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

pythontextml Python: Machine Learning with Text 21 hours

In this instructor-led, live training, participants will learn how to use the right machine learning and NLP (Natural Language Processing) techniques to extract value from text-based data.

By the end of this training, participants will be able to:

  • Solve text-based data science problems with high-quality, reusable code
  • Apply different aspects of scikit-learn (classification, clustering, regression, dimensionality reduction) to solve problems
  • Build effective machine learning models using text-based data
  • Create a dataset and extract features from unstructured text
  • Visualize data with Matplotlib
  • Build and evaluate models to gain insight
  • Troubleshoot text encoding errors

Audience

  • Developers
  • Data Scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
nlg Python for Natural Language Generation 21 hours

Natural language generation (NLG) refers to the production of natural language text or speech by a computer.

In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content.

By the end of this training, participants will be able to:

  • Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting
  • Select and organize source content, plan sentences, and prepare a system for automatic generation of original content
  • Understand the NLG pipeline and apply the right techniques at each stage
  • Understand the architecture of a Natural Language Generation (NLG) system
  • Implement the most suitable algorithms and models for analysis and ordering
  • Pull data from publicly available data sources as well as curated databases to use as material for generated text
  • Replace manual and laborious writing processes with computer-generated, automated content creation

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
opennlp OpenNLP for Text Based Machine Learning 14 hours

The Apache OpenNLP library is a machine learning based toolkit for processing natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.

In this instructor-led, live training, participants will learn how to create models for processing text based data using OpenNLP. Sample training data as well customized data sets will be used as the basis for the lab exercises.

By the end of this training, participants will be able to:

  • Install and configure OpenNLP
  • Download existing models as well as create their own
  • Train the models on various sets of sample data
  • Integrate OpenNLP with existing Java applications

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
textsum Text Summarization with Python 14 hours

In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.

In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.

By the end of this training, participants will be able to:

  • Use a command-line tool that summarizes text.
  • Design and create Text Summarization code using Python libraries.
  • Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17

Audience

  • Developers
  • Data Scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
dlfornlp Deep Learning for NLP (Natural Language Processing) 28 hours

Deep Learning for NLP allows a machine to learn simple to complex language processing. Among the tasks currently possible are language translation and caption generation for photos. DL (Deep Learning) is a subset of ML (Machine Learning). Python is a popular programming language that contains libraries for Deep Learning for NLP.

In this instructor-led, live training, participants will learn to use Python libraries for NLP (Natural Language Processing) as they create an application that processes a set of pictures and generates captions. 

By the end of this training, participants will be able to:

  • Design and code DL for NLP using Python libraries
  • Create Python code that reads a substantially huge collection of pictures and generates keywords
  • Create Python Code that generates captions from the detected keywords

Audience

  • Programmers with interest in linguistics
  • Programmers who seek an understanding of NLP (Natural Language Processing) 

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Other regions

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nlp Training in York

Other countries

These courses are also available in other countries ››

Consulting

NLP Consulting
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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Comprehensive Git Sheffield Tue, 2018-04-24 09:30 £2970 / £3570
Kotlin for Android Developers London, Hatton Garden Wed, 2018-04-25 09:30 £3267 / £4392
Machine Learning and Deep Learning Belfast City Centre Mon, 2018-04-30 09:30 £3861 / £4611
DevOps Practical Implementation and Tools Cambridge Tue, 2018-05-01 09:30 £3861 / £4536
Enterprise Architecture Overview St Helier, Jersey, Channel Isles Thu, 2018-05-10 09:30 £1980 / £2930
JMeter Fundamentals Southampton Mon, 2018-05-21 09:30 £1089 / £1339
Administering MediaWiki Exeter - The Senate Mon, 2018-05-21 09:30 £990 / £1290
jQuery St Helier, Jersey, Channel Isles Thu, 2018-05-24 09:30 £1980 / £2930
Data Mining and Analysis Birmingham Tue, 2018-06-19 09:30 £5148 / £6448
Javascript And Ajax St Helier, Jersey, Channel Isles Mon, 2018-07-02 09:30 £4950 / £7325
OCUP2 UML 2.5 Certification - Advanced Exam Preparation St Helier, Jersey, Channel Isles Mon, 2018-07-23 09:30 £1980 / £2930
jQuery Swansea- Princess House Wed, 2018-08-15 09:30 £1980 / £2280
Test Automation with Selenium St Helier, Jersey, Channel Isles Tue, 2018-09-18 09:30 £2970 / £4395

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