Szkolenia NLP

Szkolenia NLP

Szacuje się, że dane niestrukturalne stanowią ponad 90 procent wszystkich danych, w znacznej części w postaci tekstu. Posty na blogu, tweety, media społecznościowe i inne publikacje cyfrowe stale powiększają tę rosnącą liczbę danych. Szkolenia prowadzone przez ośrodek NobleProg na żywo w ramach procesu uczenia się języka naturalnego (NLP) pokazują w praktyce, jak wyciągać wnioski i znaczenie z tych danych. Wykorzystując różne języki programowania, takie jak biblioteki Python i R oraz Natural Language Processing (NLP), nasze szkolenia łączą pojęcia i techniki z zakresu informatyki, sztucznej inteligencji i lingwistyki komputerowej, aby pomóc uczestnikom zrozumieć znaczenie danych tekstowych. Treningi NLP chodzą uczestników krok po kroku przez proces oceny i stosowania właściwych algorytmów do analizy danych i raportowania ich znaczenia. Szkolenie NLP jest dostępne w różnych formatach, w tym szkolenia na żywo na żywo i szkolenia instruktorskie na żywo z wykorzystaniem interaktywnej, zdalnej konfiguracji pulpitu. Lokalne szkolenia NLP mogą być prowadzone na żywo w siedzibie klienta lub w lokalnych centrach szkoleniowych NobleProg.

Opinie uczestników

Plany Szkoleń NLP

Kod Nazwa Czas trwania Charakterystyka kursu
dlfornlp Deep Learning for NLP (Natural Language Processing) 28 godz. 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
w2vdl4j NLP with Deeplearning4j 14 godz. 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 godz. 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
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP 21 godz. 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.
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example 28 godz. 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.
textsum Text Summarization with Python 14 godz. 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
aiint Artificial Intelligence Overview 7 godz. Kurs ten został stworzony dla menadżerów, architektów, analityków biznesowych i systemowych, menedżerów oprogramowania oraz wszystkich zainteresowanych przeglądem stosowania sztucznej inteligencji i prognozą dla jej rozwoju.
nlp Natural Language Processing 21 godz. 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 godz. This course introduces linguists or programmers to NLP in Python. During this course we will mostly use (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.
nlpwithr NLP: Natural Language Processing with R 21 godz. 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 godz. 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 godz. 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
python_nlp Natural Language Processing with Deep Dive in Python and NLTK 35 godz. By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.  
opennlp OpenNLP for Text Based Machine Learning 14 godz. 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

Najbliższe szkolenia

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Kursy w promocyjnej cenie

Szkolenie Miejscowość Data Kursu Cena szkolenia [Zdalne / Stacjonarne]
Wzorce projektowe w C# Katowice ul. Opolska 22 śr., 2018-03-28 09:00 1970PLN / 2720PLN
Certified Agile Tester Katowice ul. Opolska 22 pon., 2018-04-02 09:00 8910PLN / 10410PLN
Efektywna rekrutacja i selekcja pracowników Katowice ul. Opolska 22 wt., 2018-04-03 09:00 1970PLN / 2720PLN
Perfect tester Szczecin, ul. Sienna 9 śr., 2018-04-04 09:00 1790PLN / 2540PLN
Comprehensive Git Gdańsk, ul. Grodzka 19 śr., 2018-04-04 09:00 2170PLN / 3170PLN
Metody Inteligencji Obliczeniowej Wrocław, ul.Ludwika Rydygiera 2a/22 czw., 2018-04-05 09:00 990PLN / 1490PLN
Android - Podstawy Warszawa, ul. Złota 3/11 pt., 2018-04-06 09:00 N/A / 2200PLN
Facebook w marketingu i reklamie Szczecin, ul. Sienna 9 wt., 2018-04-10 09:00 990PLN / 1490PLN
Programowanie w ASP.NET MVC 5 Szczecin, ul. Sienna 9 śr., 2018-04-11 09:00 2960PLN / 3960PLN
C# for Automation Test Engineers Wrocław, ul.Ludwika Rydygiera 2a/22 śr., 2018-04-11 09:00 4940PLN / 5940PLN
Kontrola jakości i ciągła integracja Katowice ul. Opolska 22 czw., 2018-04-12 09:00 2670PLN / 3420PLN
Oracle 12c – Język SQL dla analityków II - warsztaty Wrocław, ul.Ludwika Rydygiera 2a/22 pon., 2018-04-16 09:00 3950PLN / 5200PLN
Developing Websites with PHP Warszawa, ul. Złota 3/11 pon., 2018-04-16 09:00 1970PLN / 2720PLN
Protokół SIP w VoIP Rzeszów, Plac Wolności 13 wt., 2018-04-17 09:00 2960PLN / 3960PLN
Wprowadzenie do C# 6.0 w Visual Studio 2015/2017 Szczecin, ul. Sienna 9 pon., 2018-04-23 09:00 3950PLN / 5200PLN
Oracle 12c – Język SQL dla analityków I - warsztaty Wrocław, ul.Ludwika Rydygiera 2a/22 wt., 2018-04-24 09:00 3950PLN / 5200PLN
UML for the IT Business Analyst Gdańsk, ul. Grodzka 19 śr., 2018-04-25 09:00 4940PLN / 5940PLN
WebServices with SOAP and WSDL Basics Warszawa, ul. Złota 3/11 pon., 2018-04-30 09:00 1970PLN / 2720PLN
Microsoft Office Excel - poziom zaawansowany Katowice ul. Opolska 22 pon., 2018-04-30 09:00 1280PLN / 2280PLN
DZM – delegowanie zadań i motywowanie pracowników Katowice ul. Opolska 22 wt., 2018-05-08 09:00 1970PLN / 2720PLN
Automatyzacja testów za pomocą Selenium Warszawa, ul. Złota 3/11 wt., 2018-05-08 09:00 N/A / 1800PLN
Wprowadzenie do pakietu Microsoft Office - programy Word i Excel Warszawa, ul. Złota 3/11 pon., 2018-05-14 09:00 N/A / 1010PLN
AWS Architect Certification Kraków, ul. Rzemieślnicza 1 czw., 2018-05-17 09:00 1970PLN / 2720PLN
Techniki DTP (InDesign, Photoshop, Illustrator, Acrobat) Warszawa, ul. Złota 3/11 pon., 2018-05-21 09:00 N/A / 1700PLN
Budowanie i zarządzanie zespołem Zielona Góra, ul. Reja 6 pon., 2018-05-28 09:00 1970PLN / 2720PLN
Oracle 12c – wprowadzenie do języka SQL Łódź, ul. Tatrzańska 11 wt., 2018-06-12 09:00 3960PLN / 4710PLN
Jenkins: Continuous integration for Agile development Wrocław, ul.Ludwika Rydygiera 2a/22 czw., 2018-06-21 09:00 3290PLN / 4040PLN

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