Executive Development Programme in ML for Supply Chain: Mastery
-- ViewingNowThe Executive Development Programme in ML for Supply Chain: Mastery certificate course is a crucial program designed to equip learners with essential skills in Machine Learning (ML) and Artificial Intelligence (AI) applications for supply chain management. This course highlights the importance of data-driven decision-making in modern supply chains and teaches learners to leverage ML algorithms and techniques to optimize operations, reduce costs, and enhance efficiency.
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⢠Introduction to Machine Learning (ML): Understanding the basics of ML, its types, algorithms, and applications.
⢠Data Analysis and Preparation: Data preprocessing, cleaning, and exploration for ML models.
⢠Supervised Learning Techniques: Regression, classification, and support vector machines for supply chain optimization.
⢠Unsupervised Learning Techniques: Clustering, dimensionality reduction, and anomaly detection for supply chain data.
⢠Reinforcement Learning: Optimizing supply chain decision-making using reinforcement learning techniques.
⢠Deep Learning: Neural networks, convolutional neural networks (CNN), and recurrent neural networks (RNN) for supply chain prediction and optimization.
⢠Machine Learning Tools: Hands-on experience with popular ML tools and frameworks, such as TensorFlow, Keras, PyTorch, and Scikit-learn.
⢠Supply Chain Analytics and Visualization: Interpreting and presenting ML results for supply chain optimization.
⢠Ethical Considerations and Bias: Addressing ethical concerns and reducing bias in ML models for supply chain.
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