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Natural Language Processing Nanodegree Program

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Course Report - Natural Language Processing Nanodegree Program

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

Advanced

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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.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Course Credibility

Top 1 Percentile

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Career Impact

Top 5 Percentile

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Pedagogy

Top 20 Percentile

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Parameters

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Course Credibility

Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

This comprehensive course equips you with all major Natural Language Processing skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in Natural Language Processing, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Career Impact

This course is exceptional, ranking among the top 5 percentile in Natural Language Processing for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Natural Language Processing field.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Natural Language Processing, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Natural Language Processing.

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

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

Intermediate statistics background You are familiar with probability

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)

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

What You Will Learn

Learn text processing fundamentals, including stemming and lemmatization

Explore machine learning methods in sentiment analysis

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

Build a machine translation model using recurrent neural network architectures

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

Build a speech recognition model using deep neural networks

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

Build a speech recognition model using deep neural networks

Target Students

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

5.0

100%

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