all AI news
Forecasting with Synthetic Data at Scale (Nixtla & YData)
Jan. 7, 2022, 6:01 a.m. | Federico Garza Ramírez
Towards Data Science - Medium towardsdatascience.com
Make synthetic time series data and then forecast it with Deep Learning models
Introduction
In this post, we explain how to use nixtlats and ydata-synthetic, open-source and free python libraries that allow you to generate synthetic data to train state-of-the-art deep learning models without any significant loss of data quality. We develop a deep learning forecasting pipeline without direct access to the original data and show that synthetic data has a minimal impact on …
data deep learning forecasting open source python synthetic data time series forecasting
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Senior Data Analyst - SQL
@ Experian | Heredia, Costa Rica
Lead Business Intelligence Developer
@ L.A. Care Health Plan | Los Angeles, CA, US, 90017
(USA) Senior Manager, Data Analytics
@ Walmart | (USA) AR BENTONVILLE Home Office J Street Offices, Suite #2
Autonomous Haulage System Application Specialist
@ Komatsu | Belo Horizonte, BR
Machine Learning Engineer
@ GFT Technologies | Alcobendas, M, ES, 28108