Someone once thought about what if computers were able to learn independently and progress without any human programming or help from experience using data. This theory came to be known…
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Machine learning has been one of the world’s hottest subjects in the last decade, and Andrew Ng a machine learning expert treats it as the latest electricity. Many of the…
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Deep learning has revolutionized computer vision over the past decade. Several vision tasks such as object recognition, semantic segmentation, optical flow estimation, and more can now be resolved with unparalleled…
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AutoML provides tools that automatically discover good machine learning model pipelines for a particular dataset without much user intervention. It is ideal for machine learning practitioners or domain experts new…
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In machine learning, reducing dimensionality is a critical approach. Overfitting of the learning model may result in a large number of features available in the dataset. There are two standard…
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Decision trees are part of the Supervised Classification Algorithm family. On classification issues, they work very well, the decisional route is reasonably easy to understand, and the algorithm is fast…
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Machine learning is nothing but a research field that allows computers without any specific programming to “learn” like humans. High-dimensionality statistics and dimensionality reduction techniques that have been used for…
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Naïve Bayes is a surprisingly powerful yet simple algorithm for predictive modeling. It is a machine learning model that can handle large volumes of data, including millions of data records.…
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Machine learning is a scientific technique where computers learn how to solve a problem without directly programming them. The ML race is currently led by deep learning fuelled by improved…
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In machine learning, there is much discussion around tensors being the cornerstone data structure. Tensor is a type of data structure used in linear algebra that can be used for…
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