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Overview
What you will learn:
- The Natural Language Processing (NLP) course provided by ZHAW Zurich University of Applied Sciences enables the participants to acquire an understanding of the state-of-the-art methods in NLP with DL (deep learning) and the coding skills to start with NLP projects in life sciences domains on their own.
- The aim of the course is to bring these techniques to practitioners such as data scientists, software developers and research managers. It will enable a hands-on understanding of the state-of-the-art methods and the background theory and programming skills to start on with their own NLP projects.
In terms of specialist content, the course focuses upon the following techniques:
- the main neural networks/deep learning models used in NLP
- the deep learning approach to NLP with several application examples
- programming in Python/Tensorflow
The participants will...
- learn the theory and application of deep learning models used in NLP
- understand the key concepts of the deep learning approach to NLP
- get to know a wide sample of possible application examples
- learn how to approach their own NLP projects
- get the skills in Python and Tensorflow to work on DL-based NLP projects
Programme Structure
The program focuses on:
- Handling and pre-processing of textual and speech data;
- Bag-of-word models;
- Distributed word/text representations;
- Basics of neural network and deep learning for NLP;
- Basics of recurrent neural networks;
- Python and Tensorflow;
- Study and apply theory and skills to problems such as text classification, semantic analysis, topic modelling, machine translation, generative models, etc.
- Study and work on specific NLP projects.
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
- Starting
- Apply before
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- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
English
Credits
2 ECTS
Delivered
Blended
Campus Location
- Zürich, Switzerland
Disciplines
Data Science & Big Data View 8 other Short Courses in Data Science & Big Data in SwitzerlandWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Aimed at decision makers and scientific or engineering personnel such as data scientists, software developers, researchers or research managers.
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Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1150 CHF / full≈ 1150 CHF / full -
Domestic Applies to you
Applies to youCitizens or residents1150 CHF / full≈ 1150 CHF / full
Living costs
Zürich
Switzerland
1920 - 2572 CHF / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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