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Showing posts from December, 2023

What You Should Know About a Residential Electrical Contractor

Residential electrical contractors are responsible for installing, repairing and maintaining electrical systems in homes. Their goal is to ensure these systems run efficiently, safely and comply with local safety codes. Licensed electricians possess the experience needed to handle a range of electrical tasks in new constructions or renovations - including wiring new wires as part of new builds/renovations projects, installing lighting fixtures/outlets/ceiling fans etc, installing surge protection devices etc, providing advice regarding energy efficient solutions as well as lighting design advice - plus maintaining inspection services that guarantee compliance with national safety standards. Planning and Installation Homeowners often need to upgrade their electrical system in order to meet the increasing demands of modern appliances and devices. Residential Electrical Contractor Union city specialize in assessing current setup and making recommendations for improvements - installing ad

Using Synthetic Data Generation to Train Machine Learning Models

If you want to train a machine learning model but real-world data is unavailable, synthetic data generation offers an alternative. Synthetic data mathematically or statistically replicates real-world data to improve model performance. Generating synthetic data involves fitting a dataset to its distribution and then generating new data points that match it. Deep learning models such as generative adversarial networks (GANs) and variationally autoencoders (VAE) are well-suited for this purpose. Methods In this era of data-driven innovations, the demand for diverse and reliable data is constantly rising. However, access to real-world data can be challenging due to privacy concerns or costly data collection processes. Synthetic data generation is an efficient way to address these challenges. By generating artificial data that mimics the statistical properties of real data, synthetic datasets can be used to train machine learning models. These datasets can also be used to improve model gene