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Aditya Dutt
Aditya Dutt

104 Followers

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Published in Towards Data Science

·Pinned

A Quick Way to Check the Linearity of Data

Learn how to use PCA to check if data is linear or non-linear — When working on new data, the first question that comes to mind is about the distribution of the data. The distribution can be linear or non-linear. Let’s say we want to compress a 100-dimensional feature vector to fewer dimensions. We can either use PCA or an Autoencoder to compress the…

Machine Learning

3 min read

A Quick Way to Check the Linearity of Data
A Quick Way to Check the Linearity of Data
Machine Learning

3 min read


Published in Towards Data Science

·Pinned

A Practical Guide to Working with Geospatial data using QGIS: Part 1

Introduction Recently, I got to work on a research project involving analyzing GeoSpatial data. To analyze such data, visualization is an extremely important step. You can see several patterns easily on a map. If the data contains 100 features, it would be nice if we could plot a map of those…

Qgis

8 min read

A Practical Guide to Working with Geospatial data using QGIS: Part 1
A Practical Guide to Working with Geospatial data using QGIS: Part 1
Qgis

8 min read


Published in Towards Data Science

·Pinned

Bird Song Classification using Siamese Networks and Dilated Convolutions

Introduction Bioacoustics is very useful in studying the environment. It has been used for a long time to track submarines and whales. Birds help a lot to shape the plant life we see around us. Recognizing bird songs is very important for automatic monitoring of wildlife and studying the behavior of…

Audio Classification

9 min read

Bird Song Classification using Siamese Networks and Dilated Convolutions
Bird Song Classification using Siamese Networks and Dilated Convolutions
Audio Classification

9 min read


Published in Towards Data Science

·Pinned

Siamese Networks Introduction and Implementation

Learn how to achieve good accuracy on a classification task with just a few samples per class and imbalanced distribution of classes — Introduction Nowadays there are several deep learning models like BERT, GANs, and U-Nets that are achieving a state-of-the-art performance of tasks like image recognition, image segmentation, and language modeling. Hardly a day goes by without a new innovation in Machine Learning. Tech Giants like Google, Microsoft, and Amazon are coming up…

Deep Learning

7 min read

Siamese Networks Introduction and Implementation
Siamese Networks Introduction and Implementation
Deep Learning

7 min read


Published in MLearning.ai

·Pinned

Visualizing your deep learning features using TensorBoard

Introduction TensorBoard is a tool that provides measurements and visualizations needed during machine learning workflow. In this tutorial, I will give a quick tutorial on how to visualize your feature vectors on TensorBoard. Using a machine learning model, sometimes we want to learn embeddings of different classes. Embeddings are a way…

Tensor Flow

4 min read

Visualizing your deep learning features using TensorBoard
Visualizing your deep learning features using TensorBoard
Tensor Flow

4 min read


Published in Towards Data Science

·Oct 18, 2021

A Step By Step Implementation of Principal Component Analysis

A step-by-step tutorial to explain the working of PCA and implementing it from scratch in python — Introduction Principal Component Analysis or PCA is a commonly used dimensionality reduction method. It works by computing the principal components and performing a change of basis. It retains the data in the direction of maximum variance. The reduced features are uncorrelated with each other. These features can be used for unsupervised…

Principal Component

6 min read

A Step By Step Implementation of Principal Component Analysis
A Step By Step Implementation of Principal Component Analysis
Principal Component

6 min read


Published in MLearning.ai

·Sep 5, 2021

Audio Classification using Wavelet Transform and Deep Learning

A step-by-step implementation to classify audio signals using continuous wavelet transform (CWT) as features. Introduction Audio classification is a very important task. In the past decade, a lot of research has been done on classifying audio using different kinds of features and neural network architectures. Some real-world applications of this are…

Deep Learning

9 min read

Audio Classification using Wavelet Transform and Deep Learning
Audio Classification using Wavelet Transform and Deep Learning
Deep Learning

9 min read

Aditya Dutt

Aditya Dutt

104 Followers

Machine Learning PhD Student at University of Florida (he/him) https://adityadutt.github.io/

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