NLP Training Courses

NLP Training

Natural Language Processing, Natural Language Processing courses

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Natural Language Processing with Python

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NLP Course Outlines

Code Name Duration Overview
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.Overview of Python packages related to NLP   Introduction to NLP (examples in Python of course) Simple Text Manipulation Searching Text Counting Words Splitting Texts into Words Lexical dispersion Processing complex structures Representing text in Lists Indexing Lists Collocations Bigrams Frequency Distributions Conditionals with Words Comparing Words (startswith, endswith, islower, isalpha, etc...) Natural Language Understanding Word Sense Disambiguation Pronoun Resolution Machine translations (statistical, rule based, literal, etc...) Exercises NLP in Python in examples Accessing Text Corpora and Lexical Resources Common sources for corpora Conditional Frequency Distributions Counting Words by Genre Creating own corpus Pronouncing Dictionary Shoebox and Toolbox Lexicons Senses and Synonyms Hierarchies Lexical Relations: Meronyms, Holonyms Semantic Similarity Processing Raw Text Priting struncating extracting parts of string accessing individual charaters searching, replacing, spliting, joining, indexing, etc... using regular expressions detecting word patterns stemming tokenization normalization of text Word Segmentation (especially in Chinese) Categorizing and Tagging Words Tagged Corpora Tagged Tokens Part-of-Speech Tagset Python Dictionaries Words to Propertieis mapping Automatic Tagging Determining the Category of a Word (Morphological, Syntactic, Semantic) Text Classification (Machine Learning) Supervised Classification Sentence Segmentation Cross Validation Decision Trees Extracting Information from Text Chunking Chinking Tags vs Trees Analyzing Sentence Structure Context Free Grammar Parsers Building Feature Based Grammars Grammatical Features Processing Feature Structures Analyzing the Meaning of Sentences Semantics and Logic Propositional Logic First-Order Logic Discourse Semantics  Managing Linguistic Data  Data Formats (Lexicon vs Text) Metadata
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. TensorFlow Basics Creation, Initializing, Saving, and Restoring TensorFlow variables Feeding, Reading and Preloading TensorFlow Data How to use TensorFlow infrastructure to train models at scale Visualizing and Evaluating models with TensorBoard TensorFlow Mechanics Inputs and Placeholders Build the GraphS Inference Loss Training Train the Model The Graph The Session Train Loop Evaluate the Model Build the Eval Graph Eval Output The Perceptron Activation functions The perceptron learning algorithm Binary classification with the perceptron Document classification with the perceptron Limitations of the perceptron From the Perceptron to Support Vector Machines Kernels and the kernel trick Maximum margin classification and support vectors Artificial Neural Networks Nonlinear decision boundaries Feedforward and feedback artificial neural networks Multilayer perceptrons Minimizing the cost function Forward propagation Back propagation Improving the way neural networks learn Convolutional Neural Networks Goals Model Architecture Principles Code Organization Launching and Training the Model Evaluating a Model
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. Short Introduction to NLP methods word and sentence tokenization text classification sentiment analysis spelling correction information extraction parsing meaning extraction question answering Overview of NLP theory probability statistics machine learning n-gram language modeling naive bayes maxent classifiers sequence models (Hidden Markov Models) probabilistic dependency constituent parsing vector-space models of meaning

Upcoming Courses

CourseCourse DateCourse Price [Remote / Classroom]
Natural Language Processing with Python - Lublin, ul. Spadochroniarzy 9Mon, 2017-03-13 09:0027780PLN / 9818PLN
Neural Networks Fundamentals using TensorFlow as Example - Białystok, ul. Malmeda 1Mon, 2017-03-13 09:0030980PLN / 10788PLN
Natural Language Processing with Python - Zielona Góra, ul. Reja 6Mon, 2017-03-13 09:0027780PLN / 9418PLN
Natural Language Processing - Częstochowa, ul. Wały Dwernickiego 117/121Wed, 2017-03-15 09:007200PLN / 3450PLN
Natural Language Processing - Gdańsk, ul. Powstańców Warszawskich 45Wed, 2017-03-15 09:007200PLN / 3450PLN

Other regions

Weekend NLP courses, Evening NLP training, NLP boot camp, NLP instructor-led , Evening NLP courses, NLP classes, NLP one on one training , NLP coaching, NLP instructor, NLP trainer , NLP training courses, NLP private courses, NLP on-site

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Cassandra for Developers Łódź, ul. Tatrzańska 11 Mon, 2017-02-27 09:00 17117PLN / 6087PLN
Microsoft Office Excel - poziom średniozaawansowany Kraków, ul. Rzemieślnicza 1 Mon, 2017-02-27 09:00 1485PLN / 1295PLN
Working with spreadsheet in Microsoft Excel Szczecin, ul. Małopolska 23 Tue, 2017-02-28 09:00 1485PLN / 995PLN
Oracle 11g - Programowanie w PL/SQL - wprowadzenie Zielona Góra, ul. Reja 6 Tue, 2017-02-28 09:00 15048PLN / 5310PLN
DTP (InDesign, Photoshop, Illustrator, Acrobat) Rzeszów, Plac Wolności 13 Mon, 2017-03-06 09:00 5940PLN / 3730PLN
UML in Enterprise Architect (workshops) Bydgoszcz, ul. Dworcowa 94 Mon, 2017-03-06 09:00 5940PLN / 3720PLN
Bezstresowe zarządzanie sobą w czasie - jak mieć zawsze określone cele i być efektywnym w ich realizacji. Olsztyn, ul. Kajki 3/1 Tue, 2017-03-07 09:00 2772PLN / 1340PLN
Understanding Your Brand and Your Business Katowice ul. Opolska 22 Wed, 2017-03-08 09:00 15008PLN / 5598PLN
Visual Basic for Applications (VBA) in Excel - Advanced Gdynia, ul. Ejsmonda 2 Wed, 2017-03-08 09:00 2772PLN / 1974PLN
Programowanie w C# 5.0 z Visual Studio 2012 Lublin, ul. Spadochroniarzy 9 Mon, 2017-03-13 09:00 5940PLN / 2963PLN
Automatyzacja testów za pomocą Selenium Warszawa, ul. Złota 3/11 Mon, 2017-03-20 09:00 7722PLN / 3174PLN
Microsoft Office Excel - poziom średniozaawansowany Poznan, Garbary 100/63 Tue, 2017-03-21 09:00 1485PLN / 895PLN
Programowanie w ASP.NET MVC 5 Gdynia, ul. Ejsmonda 2 Wed, 2017-03-22 09:00 5841PLN / 2673PLN
Introduction to CSS3 Poznan, Garbary 100/63 Wed, 2017-03-22 09:00 1881PLN / 952PLN
Object-Oriented Analysis and Design using UML Warszawa, ul. Złota 3/11 Wed, 2017-03-22 09:00 5940PLN / 2580PLN
Visual Basic for Applications (VBA) in Excel - Advanced Gdynia, ul. Ejsmonda 2 Wed, 2017-03-29 09:00 2772PLN / 1974PLN
Working with spreadsheet in Microsoft Excel Szczecin, ul. Małopolska 23 Thu, 2017-03-30 09:00 1485PLN / 995PLN
Web Application Development in PHP Warszawa, ul. Złota 3/11 Tue, 2017-04-04 09:00 4752PLN / 1958PLN
Microsoft Office Excel - poziom średniozaawansowany Lublin, ul. Spadochroniarzy 9 Mon, 2017-04-10 09:00 1485PLN / 1195PLN
Six thinking hats by Edward de Bono Gdańsk, ul. Powstańców Warszawskich 45 Thu, 2017-04-13 09:00 5148PLN / 1926PLN
Microsoft Office Excel - poziom średniozaawansowany Olsztyn, ul. Kajki 3/1 Wed, 2017-04-26 09:00 1485PLN / 995PLN
BPMN 2.0 dla Analityków Biznesowych Wroclaw, ul.Ludwika Rydygiera 2a/22 Wed, 2017-05-17 09:00 6200PLN / 2667PLN
Adobe Photoshop Elements Gdynia, ul. Ejsmonda 2 Wed, 2017-06-07 09:00 1881PLN / 1327PLN
Adobe Photoshop Elements Gdańsk, ul. Powstańców Warszawskich 45 Wed, 2017-06-07 09:00 1881PLN / 1327PLN
Drools Rules Administration Wroclaw, ul.Ludwika Rydygiera 2a/22 Wed, 2017-06-14 09:00 21196PLN / 7023PLN

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