Professional Certificate in AI for News Mining
-- ViewingNowThe Professional Certificate in AI for News Mining is a comprehensive course that equips learners with essential skills to excel in the rapidly evolving field of AI-powered news analytics. This program highlights the importance of AI in news mining, providing a strong foundation in data journalism, natural language processing, and machine learning algorithms.
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Here are the essential units for a Professional Certificate in AI for News Mining:
โข <strong>Fundamentals of Artificial Intelligence</strong>: This unit will cover the basics of AI, including its history, applications, and limitations. Students will learn about different AI techniques, such as machine learning, natural language processing, and robotics. They will also explore various AI tools and platforms that can be used for news mining.
โข <strong>Data Preparation for AI</strong>: This unit will focus on preparing data for AI applications. Students will learn how to collect, clean, and transform data from various sources, such as websites, social media, and databases. They will also explore techniques for feature engineering and data preprocessing, which are essential for building accurate AI models.
โข <strong>Machine Learning for News Mining</strong>: This unit will cover the basics of machine learning and its applications in news mining. Students will learn about different machine learning algorithms, such as regression, classification, and clustering. They will also explore various evaluation metrics and techniques for optimizing model performance.
โข <strong>Natural Language Processing for News Mining</strong>: This unit will focus on natural language processing (NLP) techniques, which are essential for extracting meaning and insights from text data. Students will learn about various NLP techniques, such as tokenization, part-of-speech tagging, and named entity recognition. They will also explore techniques for sentiment analysis, topic modeling, and text classification.
โข <strong>Deep Learning for News Mining</strong>: This unit will cover the basics of deep learning and its applications in news mining. Students will learn about different deep learning architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). They will also explore various techniques for transfer learning, fine-tuning, and hyperparameter tuning.
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