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The closer our hypothesis matches the training examples, the smaller the value of the cost function. by Akshay Daga (APDaga) - June 08, 2018. I have recently completed the Machine Learning course from Coursera by Andrew NG. The course reviews two main components: First, learning about Machine Learning's purpose and where it applies to the real world. Gradient descent is an iterative minimization method. Completed Machine Learning with TensorFlow on Google Cloud Platform, a 5-course specialization by Google Cloud Training on Coursera in October 2019. You will learn about training data, and how to use a set of data to discover potentially predictive relationships. & Click here to see more codes for Raspberry Pi 3 and similar Family. Coursera is an online - learning platform that offers MOOCs, Specializations, and Degrees across a wide range of domains and topics, such as. experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, 2,624 ratings. Start with Linear Algebra and Multivariate Calculus before moving on to more complex concepts. Courses. [AI] [Tensorflow] [DeepNeuralNetworks] [ConvolutionalNeuralNetworks] Rating: _/5. For wrapping up and resume writingvideoLecture notesProgramming assignment 1. The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org website during the fall 2011 semester.
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