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Sharmistha Chatterjee's Blog (11)

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

Importance of Service Mesh Networks for Scaling Enterprise AI Solutions

 

                                           Source…

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Added by Sharmistha Chatterjee on October 10, 2020 at 9:00pm — No Comments

Most Useful C/C++ ML Libraries Every Data Scientist Should Know

Importance of C++ in Data Science and Big Data

Introduction and Motivation – Why C++

C++ is ideal for dynamic load balancing, adaptive…

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Added by Sharmistha Chatterjee on September 24, 2020 at 8:30am — 2 Comments

Comparative Study Of Best Time-Series Models For Urgent Pandemic Management-1

Introduction and Motivation

With the effect of the pandemic increasing every day and casting a vehemently toxic influence in almost all parts of the world, it becomes important how can we contain the…

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Added by Sharmistha Chatterjee on August 26, 2020 at 2:00am — No Comments

Summarizing Most Popular Text-to-Image Synthesis methods with Python

Comparative Study of Different Adversarial Text to Image Methods

Introduction

Automatic synthesis…

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Added by Sharmistha Chatterjee on August 17, 2020 at 2:00am — No Comments

Blockdrop to Accelerate Neural Network training by IBM Research

Scaling AI with Dynamic Inference Paths in Neural Networks

Introduction

IBM Research, with the help of the University of Texas Austin and the University of Maryland, has tried to expedite the performance of neural networks by creating technology, called BlockDrop. Behind the design of this technology lies the objective and promise of speeding up convolutional neural network operations without…

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Added by Sharmistha Chatterjee on July 26, 2020 at 7:30am — 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

Traditional vs Deep Learning Algorithms in the Telecom Industry

Traditional vs Deep Learning Algorithms in the Telecom Industry — Cloud Architecture and Algorithm Categorization

Google Cloud Architecture for Machine Learning Algorithms in the Telecom Industry

Introduction

The unprecedented growth of mobile devices, applications, and services have placed the utmost demand on mobile and wireless networking infrastructure. Rapid research…

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Added by Sharmistha Chatterjee on July 23, 2020 at 8:26pm — No Comments

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