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
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 o Inference o Loss o Training  Train the Model o The Graph o The Session o Train Loop  Evaluate the Model o Build the Eval Graph o 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
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
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 - Białystok, ul. Malmeda 1Mon, 2017-02-06 09:0027780PLN / 9818PLN
Natural Language Processing with Python - Zakopane ul. Jagiellońska 30 Mon, 2017-02-06 09:0027780PLN / 9818PLN
Neural Networks Fundamentals using TensorFlow as Example - Olsztyn, ul. Kajki 3/1Mon, 2017-02-06 09:0030980PLN / 10388PLN
Natural Language Processing - Bydgoszcz, ul. Dworcowa 94Mon, 2017-02-06 09:007200PLN / 3150PLN
Natural Language Processing - Szczecin, ul. Małopolska 23Mon, 2017-02-06 09:007200PLN / 3150PLN

Other regions

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

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Angular JavaScript Poznan, Garbary 100/63 Mon, 2017-01-23 09:00 7425PLN / 3275PLN
Container management with Docker Zielona Góra, ul. Reja 6 Mon, 2017-01-23 09:00 8910PLN / 3720PLN
Comprehensive Git Kraków, ul. Rzemieślnicza 1 Mon, 2017-01-23 09:00 5841PLN / 3147PLN
Building Web Apps using the MEAN stack Poznan, Garbary 100/63 Mon, 2017-01-30 09:00 14652PLN / 5440PLN
Adobe Photoshop Elements Katowice ul. Opolska 22 Mon, 2017-01-30 09:00 1881PLN / 1327PLN
Psychologiczne aspekty zarządzania zespołem IT – psychologia zespołu Scrum agile Toruń, ul. Żeglarska 10/14 Mon, 2017-02-06 09:00 5742PLN / 2340PLN
Programming in C++ Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 5445PLN / 2815PLN
Visual Basic for Applications (VBA) in Excel (intermediate level) Warszawa, ul. Złota 3/11 Mon, 2017-02-06 09:00 2376PLN / 1192PLN
C#.Net Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 25047PLN / 8840PLN
Java Performance Wroclaw, ul.Ludwika Rydygiera 2a/22 Mon, 2017-02-06 09:00 9801PLN / 3000PLN
Creating and managing Web sites Olsztyn, ul. Kajki 3/1 Mon, 2017-02-06 09:00 5841PLN / 2548PLN
Adobe Photoshop Gdynia, ul. Ejsmonda 2 Mon, 2017-02-06 09:00 1881PLN / 1452PLN
Marketing Analytics using R Gdańsk, ul. Powstańców Warszawskich 45 Wed, 2017-02-08 09:00 11880PLN / 5010PLN
Team Building and Management Szczecin, ul. Małopolska 23 Tue, 2017-02-14 09:00 5346PLN / 1569PLN
Microsoft Access - download the data Poznan, Garbary 100/63 Thu, 2017-02-16 09:00 2475PLN / 1225PLN
OCUP2 UML 2.5 Certification - Foundation Exam Preparation Warszawa, ul. Złota 3/11 Mon, 2017-02-20 09:00 7000PLN / 2933PLN
Programming in ASP.NET MVC 5 Gdynia, ul. Ejsmonda 2 Mon, 2017-02-20 09:00 5841PLN / 2673PLN
Working with spreadsheet in Microsoft Excel Szczecin, ul. Małopolska 23 Tue, 2017-02-28 09:00 1485PLN / 995PLN
Introduction to CSS3 Poznan, Garbary 100/63 Wed, 2017-03-22 09:00 1881PLN / 952PLN

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