Tag: algorithm

ML vs DL

Machine Learning modifies an algorithm without any human intervention by using structured data. Deep Learning, on the other hand, tries to imitate the human brain by using artificial neurons that form different interpretations of the same data. Based on these interpretations the best possible answer is arrived at. In simple words, if a Machine learning…
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January 9, 2020 0

Understanding the Bias-Variance Trade-off

George Box once said, “All models are wrong, but some are useful.” From a supervised machine learning perspective, all models have errors, and to make our models useful, we have to minimize such errors. More specifically, we have to minimize two major sources of error: bias and variance. Prior to applying a machine learning algorithm,…
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February 14, 2019 0

Decision made Easy with Random Forest!!!

When We, Human always want to have a second opinion why not our algorithms? Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees. Let’s understand decision tree…
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February 14, 2019 0

Discuss the trade off between bias and variance

Bias is error due to erroneous or overly simplistic assumptions in the learning algorithm you’re using. This can lead to the model underfitting your data, making it hard for it to have high predictive accuracy and for you to generalize your knowledge from the training set to the test set. Variance is error due to too much…
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February 14, 2019 0

Bias/Variance Trade-off

Bias/Variance trade-off is an important concept in learning theory. This post discusses topic from both – theoretical and practical perspective. General Main goal of any learning algorithm is to predict and generalise well. More formally, this goal is equivalent to ‘minimise expected error on unseen data’ – thus taking closer look at the components of…
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February 13, 2019 0