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Udacity - Natural Language Processing Nanodegree Pogram Full Course Free Learn Online 1.0

Natural Language Processing Nanodegree
Advance Your Career as a Natural Language Processing Expert
Udacity

160

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Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

Why Take This Nanodegree Program?
Over the course of this program, you’ll become an expert in the main components of Natural Language Processing, including speech recognition, sentiment analysis, and machine translation. You’ll learn to code probabilistic and deep learning models, train them on real data, and build a career-ready portfolio as an NLP expert!

The Natural Language Processing market is predicted to reach $22.3 billionby 2025


Work on the Most Cutting-Edge Applications

Natural Language Processing is at the center of the AI revolution, as it provides a tool for humans to communicate with computers effectively. The industry is hungry for highly-skilled specialists, and you’ll begin making an impact right away.

Focus on Putting Your Skills to Work
Master Natural Language Processing techniques with the goal of applying those techniques immediately to real-world challenges and opportunities. This is efficient learning for the innovative and career-minded professional AI engineer.

Code Your Own Models
You’ll learn how to build and code natural language processing and speech recognition models in Python. You’ll complete three major natural language processing projects, and build a strong portfolio in the process.

Benefit From Personalized Project Reviews
The most effective way to learn is by having your code and solutions analyzed by AI experts who will give you powerful feedback in order to improve your understanding.

Start mastering Natural Language Processing!
Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!

PREREQUISITE KNOWLEDGE
This program requires experience with Python, statistics, machine learning, and deep learning.See detailed requirements.
  • Introduction to Natural Language Processing
    Learn text processing fundamentals, including stemming and lemmatization. Explore machine learning methods in sentiment analysis. Build a speech tagging model.
  • Computing with Natural Language
    Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.
  • Communicating with Natural Language
    Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.
This program offers a deep dive into modern Natural Language Process techniques. Mastering these skills will prepare you to build applications involving written and spoken language. We’ve collaborated with leading innovators such as IBM and Amazon to create our world-class curriculum, and you’ll learn from an instructor team comprised of experts from both Udacity and industry professionals. Massive growth is being predicted for the Natural Language Processing software market, making now the perfect time to enter this field.

There are lessons covering Recurrent Neural Network (RNN) models for sequential data tasks like Automatic Machine Translation (AMT), using different architectures like Convolutional Neural Networks (CNNs) or bi-directional RNNs for Automatic Speech Recognition (ASR), and adding attention mechanisms to your Deep Learning models

The lessons cover many “classical” topics including Hidden Markov Models (HMMs) for tasks like part of speech tagging, Statistical Language Models (SLMs) that are used to increase accuracy in language translation and recognition tasks, and Term Frequency-Inverse Document Frequency (tf-idf) for information retrieval systems.

In this program, you’ll develop and refine specialized skills in natural language processing and voice user interfaces. The curriculum is not designed to prepare you for a specific job; instead, the goal is that you’ll expand your skills in the natural language processing domain. Growth predictions are extremely high for this market, and having these in-demand skills will significantly enhance your ability to advance your AI career.


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