The Time Series Forecasting Playground

The Time Series Forecasting Playground

  • Posted by Daitan Innovation Team
  • On June 2, 2021
  • AI, Open Source, Time Series Forecast
Here at Daitan, time series forecasting has been one of the most important applications of machine learning and today, we are pleased to announce the first (to our knowledge) time series forecasting playground. Inspired by the Neural Network Playground and the GAN Lab, the The Time Series Playground is an interactive open-source tool designed to provide intuition on how to train AutoRegressive Feed Forward Neural Networks for time series forecasting.
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How to Build Your Own Intelligent Assistant Using RASA

  • Posted by Daitan Innovation Team
  • On November 25, 2020
  • AI, Chatbot, Open Source, RASA

Chatbots are everywhere. So are the tools that promise easy development and deployment of these applications. Frameworks like Google DialogFlow, Microsoft Luis, and Amazon Lex are fighting (badly) each-other to control this growing market.

In this blog post, we describe an...

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 Software Composition Analysis

Software Composition Analysis

  • Posted by Daitan Innovation Team
  • On March 7, 2020
  • Open Source, Software Composition Analysis Tools, Software Development
Organizations that rely heavily on open source dependencies face a myriad of risks concerning the license models of each dependency, as well as, how vulnerable to threats they are. Adding a degree of code surveillance is a must for enterprises that want to mitigate financial and security risks, and brand exposure.
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 3
 Building an Application Development Security Mindset

Building an Application Development Security Mindset

  • Posted by Marketing Daitan
  • On December 5, 2018
  • Cybersecurity, Open Source, Security, Software Development
Various widely-publicized cyberattacks resulted in the theft of personal information for millions of people worldwide. Even more troubling is the advent of aggressive business disruptive attacks in which business operations are damaged, productivity seriously impacted and extraordinary unplanned costs incurred trying to recover—including regaining confidence in the company’s brand by customers, partners, and staff.
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