Choosing the best data preparation tools for machine learning is a challenge. Fitting the needs of the organization makes choosing the right vendor and solution a complicated process that requires in-depth research and often comes down to more than just the solution and its technical capabilities. Solutions Review brought this information to our attention in their article, “The 9 Best Data Preparation Tools for Machine Learning in 2022.”
Machine learning models are only as good as the data that is used to train them. Ensure that suitable training data is available and is optimized for learning and generalization.
A key aspect to understanding data is to identify patterns. These patterns are often not evident with data in tables. Exploratory data analysis with visualization tools can help quickly gain a deeper understanding of data.
At the end of the day, content needs to be findable and, that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
