In this article, let us explore how we can use GANs to model discrete-time stochastic processes, and on-demand create plausible samples to construct synthetic time series of weather data. Brief Review of GAN’s:

Generative models have been used in a myriad of applications across different domains — starting from quantitative finance to model and minimize tail risk to hydro-climate research to study the joint effects of extreme weather. The power of generative models lies in its ability to encapsulate the entire dependence structure and the underlying probability distribution of the datasets. This is very useful because, using generative models we can not only create future representations of datasets, but also sample new realistic data points that preserves the cross correlation across the original training dataset.

Generative Adversarial Networks (GANs) are a new class of generative models that was first introduced by *Goodfellow et al. (2014)*. Since then, GANs have found widespread adoption within the machine learning community to solve unsupervised machine learning problems including image/text generation and translation. In this article, let us explore how we can use GANs to model discrete-time stochastic processes, and on-demand create plausible samples to construct synthetic time series of weather data.

machine-learning insurance risk-management data-science insurtech

In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

5 stages of learning Data Science and how to ace each of them

Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?

Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.