Numpy element wise compare
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Write a NumPy program to create a 3x3 matrix with values ranging from 2 to 10. Write a NumPy program to create a one dimensional array with 8 equal spaced values between 4 and 5. Write a program to create a 3X4 matrix having all values as zeros.
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Note: Some of these experiments may be too expensive to set up in all colleges. In particular, the digital timing technique is usually too costly, unless use is made of comparativ
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The Networks Group at Data61 has been developing several methods to generate synthetic data which are differentially private. These methods covers different type of data (e.g. unit record, location-based) and different types of utility (e.g. preserve one-way counts, preserve pair-wise correlations).
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Unsupervised learning models in the form of dimensionality reduction.Dimensionality reduction does not focus on making predictions. Instead, it tries to take a set of input data with a feature dimension D (that is, the length of our feature vector), and extracts a representation of the data of dimension k, where k is usually significantly smaller than D.
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