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Natural-language processing (NLP intelligence ai) is a field of computer science, artificial intelligence concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language data. Natural Language Processing, NLP Master Program online in artificial intelligence is for computer science graduate that focuses on natural languages and algorithms. NLP training by Mildaintrainings provides computational linguistics, neural networks, etc, in deep learning. This course nlp master program in intelligence ai is a path for artificial intelligence engineer. Python or R is a required skill for many NLP algorithm implementations, so jumpstart your career with this interactive, hands-on course. Enroll & Get Certified now!
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|JUN 05th||SAT & SUN (10 WEEKS)
Timings - 08:00 PM to 11:00 PM (IST)
|JUN 21th||MON - THU (30 Days)
Timings - 08:00 PM to 10:00 PM (IST)
|JUN 26th||SAT & SUN (10 WEEKS)
|Timings - 08:00 PM to 11:00 PM (IST)|
|JUN 28th||MON - THU (30 Days)
|Timings - 07:00 AM to 09:00 AM (IST)|
Natural Language Processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. In this course, you will be given a thorough overview of Natural Language Processing and how to use classic machine learning methods. You will learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications. We will also discuss deep reinforcement learning techniques applied in NLP and Vision-Language Multimodal Intelligence. Crafted and delivered by a team of industry experts, this comprehensive Python data science training has all the components required to give you a head-start into the field of Artifical Intelligence and Advance Analytics! NLP Master Program course duration: 32-40 hours.
Prerequisites: There are no other prerequisites for this than Python or R.
1. Overview of Natural Language Processing
2. Machine learning methods
3. Cutting-edge deep learning methods
1. Introduction to Statistical Machine Translation
2. Introduction to neural models
3. Introduction to neural models for translation and conversation
Learning Objectives: Introduction to Deep Semantic Similarity Model (DSSM) and its applications.
1. Introduction to methods applied in Natural Language Understanding
2. Continuous word representations method
3. Neural knowledge base embedding method
Learning Objectives: Introduction to deep reinforcement learning techniques applied in NLP
1. Neural models applied in Image captioning
2. Neural models applied in visual question answering
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, the access to the course material will be available for lifetime once you have enrolled into the course.
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