Certificate in Research Editing: AI Fundamentals
-- ViewingNowThe Certificate in Research Editing: AI Fundamentals is a comprehensive course designed to equip learners with essential skills in artificial intelligence (AI) and its application in research editing. This program is crucial in today's digital age, where AI is revolutionizing various industries, including publishing and editing.
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โข Introduction to AI & Machine Learning: Understanding the basics of Artificial Intelligence, Machine Learning, and Deep Learning. Identifying use cases and applications.
โข Data Preparation for AI: Data collection, cleaning, and preprocessing techniques. Data exploration, visualization, and analysis.
โข Neural Networks: Introduction to neural networks, perceptrons, and activation functions. Training and testing neural networks using backpropagation.
โข Convolutional Neural Networks (CNNs): Understanding the architecture of CNNs, and their applications in image recognition and computer vision.
โข Recurrent Neural Networks (RNNs): Introduction to RNNs and their applications in natural language processing and time series prediction.
โข Reinforcement Learning: Basics of reinforcement learning, Q-learning, and Deep Q Networks. Applications in gaming and robotics.
โข AI Ethics & Bias: Understanding ethical considerations in AI, including issues of bias, fairness, and transparency.
โข AI Tools & Libraries: Hands-on experience with popular AI libraries and frameworks such as TensorFlow, Keras, and PyTorch.
โข AI Project Management: Best practices for managing AI projects, including version control, testing, and deployment.
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