Understand quicksort partitioning

The most important part of understanding quicksort is to understand the partitioning function. Here is an intuitive way to present the array being currently partitioned, let's say we've selected a pivot in the middle of the array and its value is 100. Here's the array being partitioned. Where...

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Stanford Machine Learning Final Week Review! Congratulations!

What is a "machine learning pipeline"? It's a system with many stages / components, several of which may use machine learning. When dealing with complex real world problems. Oftentimes, in order to solve one problem, we need to solve multiple sub-problems. For example, one way to solve...

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Stanford Machine Learning Week 10 review

What is the problem with learning with large dataset? When training the parameters with a large dataset, such as 100 million training examples or even more, we may not be able to fit all training example into memory. However, we do need all the training examples to calculate partial derivatives...

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Stanford Machine Learning Week 9 review

What is Anomaly Detection? Given a bunch of x's (where each x is a vector - a training example), detect whether for a new example x (a new vector), possibility p(x) < ε (epsilon). If yes, it is considered an anomaly; otherwise, it is considered normal. What is Gaussian (Normal) distribution? Gaussian...

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Stanford Machine Learning Week 8 review

What is Unsupervised Learning? Supervised Learning is to learn the weights from training examples with answers.Unsupervised Learning does not have such answers in the training examples. What is K-Means Algorithm? K-Means Algorithm is one of the supervised learning algorithm, to automatically...

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Stanford Machine Learning Week 7 review

What is SVM (Support Vector Machine)? SVM is like logistical regression. It has the same way to solve z, which is ϴ'*X. The difference is the cost function. SVM's cost function is two simple straight lines for y == 1; and symmetrically, two other straight lines for y == 0. This is computationally...

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