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Natural Language Processing Nanodegree Program

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$941

$800

15% OFF

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Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

10 hours per week

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Teaching Type

Self Paced

Course Description

This program provides a deep dive into the modern Natural Language Process techniques. These skills will allow you to create applications that use spoken and written language. Our curriculum is a result of collaboration with Amazon and IBM, which has created a world-class curriculum. You'll be taught by industry experts and Udacity experts. The Natural Language Processing market is expected to grow at a rapid pace, so now is the best time to get into this field.

This program will help you analyze real data and create financial models to trade. This program will help you master data analysis and AI skills, whether you are looking to get a new job or advance your career in quant trading.

Careervira Take

Offered by Udacity, this Intermediate level program helps learners build models on real data and get hands-on experience with sentiment analysis, machine translation, and more. We recommend this course to all who have intermediate to advanced Python experience. This Nanodegree program accepts all applicants regardless of experience and specific background. Industries, tech firms, start-ups and government agencies are areas where one can work as an artificial intelligence analyst.

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Course Credibility

The completion of this certificate renders a certificate from Udacity, an American educational organization t...
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Pedagogy

The professors associated with this course have degrees from renowned institutions in cloud development. The ...
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Hands-on training

The modules of this course are detail-oriented, comprehensive and practical. Apart from theoretical concepts,...
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Career impact

This certification course will help the learners grow their skill set. The learners will learn some popular i...
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Pricing

The course is three months long and offers limited access to course material. It is priced at a lower amount ...
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Assessment

The assessment method involves completing assignments and undertaking projects under various modules througho...

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training

Skills You Will Gain

Prerequisites/Requirements

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You need to have intermediate to advanced Python experience You are familiar with object-oriented programming You can write nested for loops and can read and understand code written by others

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Intermediate statistics background You are familiar with probability

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Intermediate knowledge of machine learning techniques You can describe backpropagation, and have seen a few examples of neural network architecture (preferrably a recurrent neural network or a long short-term memory network)

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You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before

What You Will Learn

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Learn text processing fundamentals, including stemming and lemmatization

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Explore machine learning methods in sentiment analysis

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Build a speech tagging modelLearn advanced techniques like word embeddings, deep learning attention, and more

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Build a machine translation model using recurrent neural network architectures

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Learn voice user interface techniques that turn speech into text and vice versa

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Build a speech recognition model using deep neural networks

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Learn voice user interface techniques that turn speech into text and vice versa

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Build a speech recognition model using deep neural networks

Target Students

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This Nanodegree program accepts all applicants regardless of experience and specific background

Course Instructors

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Luis Serrano

Instructor

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
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Jay Alammar

Instructor

Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.
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Arpan Chakraborty

Instructor

Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
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Dana Sheahen

Content Developer

Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where ...

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Course Reviews

Average Rating Based on 6 reviews

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$941

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