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To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.
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To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post
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Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post
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Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post
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This post introduces Theano as a quick guide for developers. Read here: Blog Post