Executive Development Programme in Neural Networks for Decision Making
-- ViewingNowThe Executive Development Programme in Neural Networks for Decision Making is a certificate course designed to provide learners with essential skills in artificial intelligence (AI) and machine learning (ML). This program highlights the importance of neural networks in data-driven decision making, addressing industry demand for professionals who can effectively apply AI and ML technologies to solve complex business problems.
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⢠Introduction to Neural Networks: Understanding the basics of artificial neural networks, including their structure, functionality, and applications.
⢠Data Preprocessing: Techniques for data cleaning, normalization, and transformation to prepare for neural network analysis.
⢠Building Neural Network Models: Hands-on experience in building, training, and testing neural network models using popular frameworks such as TensorFlow or PyTorch.
⢠Primary Keywords: Backpropagation, Gradient Descent
⢠Convolutional Neural Networks (CNNs): Exploring the architecture, training, and implementation of CNNs, focusing on image recognition and computer vision.
⢠Recurrent Neural Networks (RNNs): Delving into the design, optimization, and application of RNNs, specifically focusing on sequential data analysis and natural language processing.
⢠Deep Learning for Decision Making: Applying neural networks for decision making, including predictive modeling, risk assessment, and decision optimization.
⢠Primary Keywords: Predictive Modeling, Decision Optimization
⢠Evaluation and Interpretation of Neural Network Models: Techniques for model evaluation, validation, and interpretation, emphasizing the importance of understanding and explaining model outputs.
⢠Ethics in Neural Networks and AI: Exploring the ethical implications of using neural networks and AI, including privacy concerns, biases, and fairness.
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