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Category: Machine Learning

Top 10 Deep Learning Algorithms You Should Know in

Top 10 Deep Learning Algorithms You Should Know in

Posted on 29 December, 202019 January, 2021
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…
Read More
Emerging Machine Learning And AI Trends

Emerging Machine Learning and AI Trends To Watch in 2021

Posted on 20 December, 202028 December, 2020
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,…
Read More
Machine-deep-learning-in-mobile-video-game-AI-development

Machine & Deep Learning in Mobile Video Game AI Development

Posted on 2 December, 20202 December, 2020
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…
Read More
Machine Learning Algorithms

The Top 10 Machine Learning Algorithms for ML Beginners

Posted on 1 December, 20201 December, 2020
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…
Read More
3D-Deep-Learning-in-Function-Space

3D Deep Learning in Function Space

Posted on 31 October, 202031 October, 2020
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…
Read More

AutoML Libraries for Python, you should know.

Posted on 22 October, 2020
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…
Read More

Principal Component Analysis vs Linear Discriminant Analysis

Posted on 13 October, 2020
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…
Read More
Decision-Tree-vs-Random-Forest-for-Classfication-Problems

Decision Tree vs. Random Forest for Classification Problems

Posted on 10 October, 2020
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…
Read More

What is Dimensionality Reduction in Machine Learning?

Posted on 9 October, 20209 October, 2020
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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How is Naive Bayes used in Machine Learning?

Posted on 8 October, 2020
NaĂŻve 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.…
Read More

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