How to improve data quality for Machine Learning? The ultimate goal of every data scientist or Machine Learning evangelist is to create a better model with higher predictive accuracy.
The ultimate goal of every data scientist or Machine Learning evangelist is to create a better model with higher predictive accuracy. However, in the pursuit of fine-tuning hyperparameters or improving modeling algorithms, data might actually be the culprit. There is a famous Chinese saying “工欲善其事，必先利其器” which literally translates to — To do a good job, an artisan needs the best tools. So if the data are generally of poor quality, regardless of how good a Machine Learning model is, the results will always be subpar at best.
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
In this article, see the role of big data in healthcare and look at the new healthcare dynamics. Big Data is creating a revolution in healthcare, providing better outcomes while eliminating fraud and abuse, which contributes to a large percentage of healthcare costs.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought
We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
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.