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This article is more of a survey looking at recent trends and technologies that can help you deal with multilingual languages.
This article is an overview of data science, machine learning and deep learning in 2020 and provides predictions for 2021.
Let's see how data preparation and feature engineering are the most time-consuming yet important step of modeling pipeline.
Power analysis is essential in data science to ensure sufficient sample size & detect true effects. Common methods include a priori power.
Check out the Data Scientist Learning Path 2025. Explore the roadmap to become data scientist, skills required, application, projects etc.
We list down Top Female AI influencers of 2020 who set a high bar in the community with their work and have become a beacon of inspiration.
A comprehensive guide for principal component analysis (PCA). Learn about PCA, how it is done, mathematics, and Linear Algebraic operation.
Pattern recognition is a process of finding similarities in data. This article is an overview of neural approach on pattern recognition
Let’s have a look at the various performance evaluation measures of classification model so as to check the model and enhance its prediction.
Misguiding deep neural networks is easy with the help of just one-pixel alteration leading to model misclassification.
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