Machine Learning for Artificial Intelligence Specialization – Boost your career growth and income potential

Software Development and Engineering colleagues, this program provides an introduction to machine learning, datamining, and statistical pattern recognition. Topics include: 1) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), 2) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), and 3) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining. You will gain valuable skills in Logistic Regression, Artificial Neural Networks, Machine Learning, and Algorithms Machine Learning. Much career success, Lawrence Wilson, Artificial Intelligence Academy

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