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Overview
This beginner-friendly course introduces core machine learning concepts through the lens of natural language processing (NLP). Learners start with text preprocessing, vectorization, and sentiment analysis, then advance to more complex models like LSTMs and Transformers. With practical Python labs using libraries like NLTK, scikit-learn, and Hugging Face, students gain hands-on experience building models that understand and generate human language. This course is ideal for those new to ML but interested in AI-driven text applications.
Syllabus
- Intro to ML: Language Processing
- Vertex AI: Qwik Start
- Speech-to-Text API: Qwik Start
- Cloud Natural Language API: Qwik Start
- Entity and Sentiment Analysis with the Natural Language API
- Speech to Text Transcription with the Cloud Speech API
- Your Next Steps
- Course Badge
Instructor
Cloudskillsboost
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