Certificate Programme in Machine Learning for Fake News Detection
-- viewing nowThe Certificate Programme in Machine Learning for Fake News Detection is a comprehensive course designed to equip learners with essential skills in combating misinformation using AI. This programme is crucial in today's digital age, where the proliferation of fake news poses serious threats to society, businesses, and democracy.
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Course details
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Unit 1: Introduction to Machine Learning & Fake News Detection
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Unit 2: Data Preprocessing for News Articles
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Unit 3: Natural Language Processing (NLP) Techniques in Machine Learning
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Unit 4: Feature Engineering for Fake News Detection
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Unit 5: Supervised Learning Algorithms
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Unit 6: Deep Learning Models for Fake News Detection
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Unit 7: Evaluation Metrics for Fake News Detection Systems
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Unit 8: Bias and Ethical Considerations in Fake News Detection
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Unit 9: Real-world Applications and Challenges of Fake News Detection
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Unit 10: Building and Deploying a Machine Learning Model for Fake News Detection
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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