Pragati Baheti

Pragati Baheti

Guest Author and Software Developer

at Microsoft

Bio

Pragati is a software developer at Microsoft, and a deep learning enthusiast. She writes about the fundamental mathematics behind deep neural networks.

Writing for V7 since

Articles

Computer vision

Oct 5, 2022

Image Recognition: Definition, Algorithms & Uses

Image recognition is the process of identifying objects in images. We cover the basics of the task and different approaches to it.

Pixelated face with numerical grid data.

Computer vision

Oct 5, 2022

Image Recognition: Definition, Algorithms & Uses

Image recognition is the process of identifying objects in images. We cover the basics of the task and different approaches to it.

Pixelated face with numerical grid data.

Computer vision

Sep 13, 2022

Pattern Recognition in Machine Learning [Basics & Examples]

Pattern recognition in machine learning refers to the process of identifying patterns in data. Explore different pattern recognition techniques and use cases.

Fingerprint, man, barcode, QR code, handwriting on blue background

Computer vision

Sep 13, 2022

Pattern Recognition in Machine Learning [Basics & Examples]

Pattern recognition in machine learning refers to the process of identifying patterns in data. Explore different pattern recognition techniques and use cases.

Fingerprint, man, barcode, QR code, handwriting on blue background

Computer vision

Jul 29, 2022

The Complete Guide to Recurrent Neural Networks

Recurrent neural networks (RNNs) are well-suited for processing sequences of data. Explore different types of RNNs and how they work.

Diagram of a feedforward neural network transitioning to a RNN.

Computer vision

Jul 29, 2022

The Complete Guide to Recurrent Neural Networks

Recurrent neural networks (RNNs) are well-suited for processing sequences of data. Explore different types of RNNs and how they work.

Diagram of a feedforward neural network transitioning to a RNN.

Computer vision

Jan 31, 2022

Overfitting vs. Underfitting: What's the Difference?

Overfitting and underfitting are both common problems in machine learning. Learn about the signs of overfitting and underfitting, and how to avoid them.

Bias, variance, and total error vs. model complexity graph.

Computer vision

Jan 31, 2022

Overfitting vs. Underfitting: What's the Difference?

Overfitting and underfitting are both common problems in machine learning. Learn about the signs of overfitting and underfitting, and how to avoid them.

Bias, variance, and total error vs. model complexity graph.