Executive Development Programme in Machine Learning Technologies
-- ViewingNowThe Executive Development Programme in Machine Learning Technologies is a certificate course designed to empower professionals with the latest machine learning skills. In today's data-driven world, the demand for machine learning expertise is skyrocketing, making this course essential for career advancement.
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⢠Fundamentals of Machine Learning: Introduction to key concepts, algorithms, and techniques in machine learning. Understanding of supervised, unsupervised, and reinforcement learning.
⢠Python Programming for Machine Learning: Learning the basics of Python programming, focusing on libraries and tools commonly used in machine learning, such as NumPy, Pandas, and Matplotlib.
⢠Data Preprocessing and Feature Engineering: Techniques for cleaning, transforming, and selecting data, including data wrangling and feature engineering for machine learning models.
⢠Supervised Learning Techniques: Deep dive into supervised machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, and support vector machines.
⢠Unsupervised Learning Techniques: Overview of unsupervised learning algorithms, such as clustering, dimensionality reduction, and anomaly detection.
⢠Neural Networks and Deep Learning: Introduction to neural networks and deep learning, including backpropagation, convolutional neural networks, and recurrent neural networks.
⢠Reinforcement Learning and Natural Language Processing: Overview of reinforcement learning and natural language processing, including applications in machine learning.
⢠Ethics and Bias in Machine Learning: Understanding of ethical considerations, including issues around bias, fairness, and transparency in machine learning.
⢠Deploying Machine Learning Models: Techniques for deploying and scaling machine learning models, including cloud-based solutions and containerization.
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