Unsupervised Machine Learning Diploma | Arabic

Diploma in Unsupervised Machine Learning Using Python. It is a unique diploma that enriches Arabic content in the field of artificial intelligence. It is a comprehensive training course based on interaction, application, detailed explanation, and a thorough breakdown of algorithms from scratch to an excellent understanding of the algorithm. The course emphasizes practical application in coding and building a strong model used in real-life scenarios. Suitable for beginners, professionals, and anyone interested in data science, data analysis, machine learning, and artificial intelligence, including Data Analysts, Data Scientists, Machine Learning Engineers, and AI Engineers.The diploma qualifies you to master unsupervised machine learning and data science not only through coding but also through a solid understanding of the mathematics related to algorithms, with detailed explanations from both theoretical and practical perspectives._________________________________________________________________________________________What You Will Learn:Introduction to the Course:Introduction to Unsupervised Machine LearningUnderstanding the fundamentals of unsupervised machine learning.Linear and Nonlinear Dimensionality ReductionPrincipal Component Analysis (PCA)Incremental Principal Component Analysis (IPCA)Kernel Principal Component Analysis (Kernel PCA)Singular Value Decomposition (SVD)Gaussian & Sparse Random ProjectionIsomap AlgorithmLocally Linear Embedding (LLE)t-SNE AlgorithmPractical Project on Anomaly Detection Using Dimensionality Reduction MethodsIntroduction to ClusteringK-Means AlgorithmUse Cases of K-MeansImag