Types of Pattern Recognition Algorithms
If you are looking for types of algorithms in pattern recognition, you have landed on the right page. This article talks about what pattern recognition is and discusses different types…
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Top 10 Deep Learning Algorithms You Should Know in
In scientific computing, deep learning has gained immense popularity, and its algorithms are commonly used by companies that solve complex problems. In order to perform complex functions, all deep learning…
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Emerging Machine Learning and AI Trends To Watch in 2021
The future of nearly every company and every human being on the planet is affected by artificial intelligence (AI). The critical engine of new technology such as big data, robotics,…
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Machine & Deep Learning in Mobile Video Game AI Development
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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The Top 10 Machine Learning Algorithms for ML Beginners
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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3D Deep Learning in Function Space
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 Libraries for Python, you should know.
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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Principal Component Analysis vs Linear Discriminant Analysis
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 Tree vs. Random Forest for Classification Problems
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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What is Dimensionality Reduction in Machine Learning?
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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