SKILL PATH
Mastering Natural Language Processing
Natural language processing (NLP) enables computers to understand, interpret, and generate human language meaningfully, contextually, and relevantly. NLP applications, including virtual assistants like Siri and Alexa, language translation services, and more, are widespread. The field continues to evolve with ongoing research and technological advancements, making it a highly valued skill amongst machine learning engineers in the tech industry. The Skill Path begins with a comprehensive introduction to the fundamental concepts of natural language processing (NLP) and machine learning. Next, you’ll extensively cover spaCy’s (a widely used Python library for machine learning) architecture and gain hands-on experience using spaCy for real-world NLP applications. Finally, you’ll use these skills to build some applications using NLP.
29 hours
205 Lessons
Learning Objectives
A familiarity with natural language processing and machine learning
An understanding of different techniques for interpreting complex deep learning models applied to NLP
A working knowledge of text classification methodologies
The ability to process raw text into usable data to apply machine learning techniques
Path Content
Contributors:
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
