Natural Language Processing Switzerland

Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable. This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. Enroll & Get Certified now!

✔ Course Duration : 32 hrs

✔ Training Options : Live Online / Self-Paced / Classroom

✔ Certification Pass : Guaranteed

Natural Language Processing Switzerland

Natural language processing is one of the technologies that drives Artificial Intelligence. Its core functionality is to allow machines to understand human speech. Technologies such as Google Assistant and Alexa use NLP to translate our words into text, that is then decoded by a complex set of algorithms which can be understood by machines. With the help of NLP it is possible to create intelligent and intuitive machines that can communicate with us. As more and more companies understand the use and need of NLP, its market revenue is steadily increasing. From 277 million U.S. dollars. In 2015 it is expected to reach 919.3 million U.S. dollars in 2020. This has naturally raised the demand for NLP professionals who are coveted for their skills in creating cutting edge technologies. This is the right time to enrol in this course and get started on a brilliant career in NLP.

What you will Learn

Apply deep learning models to solve machine translation and conversation problems.
Apply deep structured semantic models on information retrieval and natural language applications.
Apply deep reinforcement learning models on natural language applications.
Apply deep learning models on image captioning and visual question answering.

PREREQUISITES

Analytics professionals who want to work with Python NLP
Software professionals looking to get into the field of Neural Network
IT professionals interested in pursuing a career in analytics
Graduates looking to build a career in analytics and data science
Experienced professionals who would like to harness Natural language processing in their fields
Anyone with a genuine interest in the field of Language Processing

There are no prerequisites for this Python or R.

CURRICULUM

Learning Objectives:

Overview of Natural Language Processing
Machine learning methods
Cutting-edge deep learning methods

Learning Objectives:

Introduction to Statistical Machine Translation
Introduction to neural models
Introduction to neural models for translation and conversation

Learning Objectives:

Introduction to Deep Semantic Similarity Model (DSSM) and its applications.

Learning Objectives:

Introduction to methods applied in Natural Language Understanding
Continuous word representations method
Neural knowledge base embedding method

Learning Objectives:

Introduction to deep reinforcement learning techniques applied in NLP

Learning Objectives:

Neural models applied in Image captioning
Neural models applied in visual question answering

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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