This interactive, hands-on course for non-practitioners focuses on powerful, deep machine learning applications, neural networks, and frameworks and techniques on Big Data to execute real world solutions to complex problems. The course covers AI algorithms, deep learning architectures, and statistics and probability for Big Data analysis. Skills taught include Python, Spark, Caffe, Theano, TensorFlow, and Neon.
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