Description
Become a Natural Language Processing Expert Course published by Udacity Academy. Acquire the skills necessary to make computers understand, process, and manipulate human language. Build models based on real data and get hands-on experience with sentiment analysis, machine translation, and more.
Learn advanced natural language processing techniques for speech processing and text analysis. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to train computers to do things like speech recognition, machine translation, and more! Learn the basics of text processing, including stemming and word building. Explore machine learning methods in sentiment analysis. Build a speech tagging model. Use several techniques, including lookup tables, n-grams, and hidden Markov models to label parts of speech in sentences and compare their performance.
What you will learn in the Become a Natural Language Processing Expert training course:
- An introduction to natural language processing
- Part of speech tagging
- Natural language computing
- machine translation
- Natural language communication
- speech recognition
Course details
- Publisher: Udacity
- Instructors: Luis Serrano , Jay Alammar , Arpan Chakraborty , Dana Sheahen
- English language
- Training level: advanced
- Training duration: 9 hours and 20 minutes
See Also:
Udemy – Python Data Science with Pandas: Master 12 Advanced Projects 2022
Udemy – SOLIDWORKS: Become a Certified Professional Today (CSWP) 2021
Udemy – Web Development w/ Google’s Go (golang) Programming Language 2022
Become a Natural Language Processing Expert Course headings
Become a Natural Language Processing Expert Course prerequisites
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 (preferrable 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.
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English subtitle
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v1.0.0
Download part 1 – 1 GB
Download part 2 – 717 MB
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