This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Google Machine Learning
Tensor flow certification
Intro to database program units
Building, managing, and using packages
Creating, maintaining, and implementing triggers
Work with BEGIN, DECLARE, EXCEPTION, and Oracle database tools
App developers and designers looking for career growth
Database administrators willing to enhance their skills
Organizations willing to develop apps using Oracle-SQL
Students wanting to prepare for Oracle certification exams
Download Brochure for the course
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