Professional Certificate in Machine Learning Unsupervised Learning

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The Professional Certificate in Machine Learning Unsupervised Learning course is a critical program that focuses on building essential skills in unsupervised learning, a subfield of machine learning. This course is highly important due to the increasing industry demand for professionals who can create and implement algorithms that learn from unlabeled data, enabling organizations to make data-driven decisions and gain insights from large, complex datasets.

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Enrollees will master unsupervised learning techniques such as clustering, dimensionality reduction, and density estimation. They will also learn to apply these techniques to real-world problems, using state-of-the-art tools and frameworks like TensorFlow, Keras, and Scikit-learn. Upon completion, learners will be equipped with the skills necessary to advance their careers in data science, machine learning engineering, artificial intelligence, and related fields. This course is an excellent opportunity to stay ahead of the curve and gain a competitive edge in the rapidly evolving world of machine learning.

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โ€ข Introduction to Unsupervised Learning
โ€ข Types of Unsupervised Learning: Clustering and Dimensionality Reduction
โ€ข K-Means Clustering Algorithm
โ€ข Hierarchical Clustering
โ€ข Principal Component Analysis (PCA)
โ€ข Singular Value Decomposition (SVD) for Recommender Systems
โ€ข Autoencoders: Neural Networks for Dimensionality Reduction
โ€ข Anomaly Detection: Unsupervised Learning for Fraud Detection
โ€ข Evaluation Metrics for Unsupervised Learning

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PROFESSIONAL CERTIFICATE IN MACHINE LEARNING UNSUPERVISED LEARNING
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London School of International Business (LSIB)
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05 May 2025
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