Data Cleaning in Machine Learning: Guideline and Checklist
Machine Learning (ML) is helping businesses across industries solve problems and deliver tangible benefits. The chatbots customers interact with, to...
Insights and Analysis for the Data-Driven Enterprise
Machine Learning (ML) is helping businesses across industries solve problems and deliver tangible benefits. The chatbots customers interact with, to...
Change never comes easy. It’s no secret that in today’s information age, to be successful, a company must be data-driven. Data is not scarce today....
There’s no denying the importance of data in today’s world. When used the right way, data can give you a competitive edge over everyone else....
Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based...
There’s no doubt about it – the better the quality of your data, the more useful it will be for decision making. Though many companies aspire to have...
The concept of money is changing. It’s not all just notes and coins, you’ve probably heard of cryptocurrency and bitcoins too. This isn’t play money....
All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence.
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