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All Blog Posts Tagged 'deep-learning' (6)

Genius Tool to Compare Best Time-Series Models For Multi-step Time Series Modeling

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

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Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments

Traditional vs Deep Learning Algorithms used in BlockChain in Retail Industry

Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain

Introduction

This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:

  • Overview of the role of blockchain in the retail industry.
  • Different traditional…
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Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Anomaly Detection from Head and Abdominal Fetal ECG — A Case study of IOT anomaly detection using Generative Adversarial Networks

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:14am — No Comments

ARIMA/SARIMA vs LSTM with Ensemble learning Insights for Time Series Data

Motivation

There are five types of traditional time series models most commonly used in epidemic time series forecasting, which includes

  • Autoregressive (AR),
  • Moving Average (MA),
  • Autoregressive Moving Average (ARMA),
  • Autoregressive Integrated Moving Average (ARIMA), and
  • Seasonal Autoregressive Integrated Moving Average (SARIMA) models.

AR models express the current value of the time series linearly in…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:09am — No Comments

Preprocessing for deep learning: from covariance matrix to image whitening

You can also fork the Jupyter notebook on Github here!

The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions! Thinking by…

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Added by hadrienj on August 28, 2018 at 11:22am — 2 Comments

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