NLP Training in Bradford

NLP Training in Bradford

Natural Language Processing, Natural Language Processing courses

Bradford - Carlisle Business Centre

Carlisle Business Centre
60 Carlisle Road
Bradford, WYK BD8 8BD
United Kingdom
West Yorkshire GB
Bradford - Carlisle Business Centre
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a voluntary board of directors. We...Read more

Client Testimonials

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

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

Neural Networks Fundamentals using TensorFlow as Example

Knowledgeable trainer

Sridhar Voorakkara - INTEL R&D IRELAND LIMITED

Neural Networks Fundamentals using TensorFlow as Example

Topic selection. Style of training. Practice orientation

Commerzbank AG

Natural Language Processing with Python

I did like the exercises

- Office for National Statistics

Neural Networks Fundamentals using TensorFlow as Example

Topic selection. Style of training. Practice orientation

Commerzbank AG

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

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

NLP Course Events - Bradford

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
nlp Natural Language Processing Bradford - Carlisle Business Centre 21 hours Mon, 2018-02-12 09:30 £3300 / £4050
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Bradford - Carlisle Business Centre 21 hours Tue, 2018-02-13 09:30 £3900 / £4650
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bradford - Carlisle Business Centre 28 hours Tue, 2018-02-27 09:30 £5200 / £6200
pythontextml Python: Machine Learning with Text Bradford - Carlisle Business Centre 21 hours Tue, 2018-03-06 09:30 £3300 / £3800
nlg Python for Natural Language Generation Bradford - Carlisle Business Centre 21 hours Wed, 2018-03-07 09:30 £3300 / £4050
python_nltk Natural Language Processing with Python Bradford - Carlisle Business Centre 28 hours Mon, 2018-03-12 09:30 £4400 / £5400
tsflw2v Natural Language Processing with TensorFlow Bradford - Carlisle Business Centre 35 hours Mon, 2018-03-12 09:30 £6500 / £7750
textsum Text Summarization with Python Bradford - Carlisle Business Centre 14 hours Tue, 2018-03-20 09:30 £2200 / £2700
nlpwithr NLP: Natural Language Processing with R Bradford - Carlisle Business Centre 21 hours Tue, 2018-03-20 09:30 £3300 / £4050
dlfornlp Deep Learning for NLP (Natural Language Processing) Bradford - Carlisle Business Centre 28 hours Mon, 2018-03-26 09:30 £4400 / £5400
opennlp OpenNLP for Text Based Machine Learning Bradford - Carlisle Business Centre 14 hours Tue, 2018-04-03 09:30 £2200 / £2700
nlp Natural Language Processing Bradford - Carlisle Business Centre 21 hours Wed, 2018-04-04 09:30 £3300 / £4050
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Bradford - Carlisle Business Centre 21 hours Mon, 2018-04-09 09:30 £3900 / £4650
nlg Python for Natural Language Generation Bradford - Carlisle Business Centre 21 hours Mon, 2018-04-30 09:30 £3300 / £4050
pythontextml Python: Machine Learning with Text Bradford - Carlisle Business Centre 21 hours Mon, 2018-05-07 09:30 £3300 / £3800
tsflw2v Natural Language Processing with TensorFlow Bradford - Carlisle Business Centre 35 hours Mon, 2018-05-07 09:30 £6500 / £7750
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bradford - Carlisle Business Centre 28 hours Mon, 2018-05-07 09:30 £5200 / £6200
python_nltk Natural Language Processing with Python Bradford - Carlisle Business Centre 28 hours Tue, 2018-05-08 09:30 £4400 / £5400
nlpwithr NLP: Natural Language Processing with R Bradford - Carlisle Business Centre 21 hours Mon, 2018-05-14 09:30 £3300 / £4050
textsum Text Summarization with Python Bradford - Carlisle Business Centre 14 hours Mon, 2018-05-21 09:30 £2200 / £2700
opennlp OpenNLP for Text Based Machine Learning Bradford - Carlisle Business Centre 14 hours Wed, 2018-05-23 09:30 £2200 / £2700
nlp Natural Language Processing Bradford - Carlisle Business Centre 21 hours Tue, 2018-05-29 09:30 £3300 / £4050
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Bradford - Carlisle Business Centre 21 hours Wed, 2018-05-30 09:30 £3900 / £4650
dlfornlp Deep Learning for NLP (Natural Language Processing) Bradford - Carlisle Business Centre 28 hours Tue, 2018-06-05 09:30 £4400 / £5400
nlg Python for Natural Language Generation Bradford - Carlisle Business Centre 21 hours Tue, 2018-06-26 09:30 £3300 / £4050
pythontextml Python: Machine Learning with Text Bradford - Carlisle Business Centre 21 hours Wed, 2018-06-27 09:30 £3300 / £4050
python_nltk Natural Language Processing with Python Bradford - Carlisle Business Centre 28 hours Mon, 2018-07-02 09:30 £4400 / £5400
tsflw2v Natural Language Processing with TensorFlow Bradford - Carlisle Business Centre 35 hours Mon, 2018-07-02 09:30 £6500 / £7750
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bradford - Carlisle Business Centre 28 hours Mon, 2018-07-02 09:30 £5200 / £6200
nlpwithr NLP: Natural Language Processing with R Bradford - Carlisle Business Centre 21 hours Tue, 2018-07-10 09:30 £3300 / £4050
textsum Text Summarization with Python Bradford - Carlisle Business Centre 14 hours Wed, 2018-07-11 09:30 £2200 / £2700
opennlp OpenNLP for Text Based Machine Learning Bradford - Carlisle Business Centre 14 hours Thu, 2018-07-12 09:30 £2200 / £2700
nlp Natural Language Processing Bradford - Carlisle Business Centre 21 hours Mon, 2018-07-23 09:30 £3300 / £4050
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Bradford - Carlisle Business Centre 21 hours Tue, 2018-07-31 09:30 £3900 / £4650
dlfornlp Deep Learning for NLP (Natural Language Processing) Bradford - Carlisle Business Centre 28 hours Tue, 2018-07-31 09:30 £4400 / £5400

Course Outlines

Code Name Duration Outline
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.
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
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