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The answer is hidden in your data. Quaartz reveals it for you.
Validate. Explore. Prototype. Integrate.
customer Stories
Learn about the ways our customers use Quaartz
You are interested in extracting critical information from your dataset, i.e., from a few hundred records to ten of thousands. TADA® can assist you in uncover the invisible information in your data and make it straightforward for you, whether you’re an expert in your domain without data science training or not.
“TADA is Artificial Intelligence for non-techie: it requires no coding skills whatsoever!”
When the customer enters its data, TADA creates 1000’s models, not one. It uses a patented modeling engine based on genetic algorithms to determine the best Machine Learning models autonomously, tests them, and automatically picks the best performing one after a series of iterations.
With its capability to spot three to seven variables that can model the problem, TADA performs automated variable reduction.
TADA models are simple mathematical expressions, readable, interpretable, which facilitate easy what-if hypotheses. In other words, our models are fully transparent, with no hidden elements, no external libraries; what you see is what you get: the parameters, the constants, the operators. Our models are versatile among a wide variety of data hence use cases.
At MyDataModels, we believe that machine learning, data science, and artificial intelligence blend smoothly in everyday life. We believe in building trust between humans and AI by ensuring that technology is transparent and serves humans.
We think that the most advanced artificial intelligence should be available for everyone to use instead of only for experts in data sciences. Machine learning must be readily approachable and give a direct benefit to anyone autonomously.
Therefore, we consider it is our responsibility to take care of AI algorithms’ complicated machinery to releave our users this burden and let them enjoy the result to solve their day-to-day problems.
Artificial Intelligence, Machine Learning, and Data Science must be open and explainable to empower all users. Our users can understand and extract value of their data, take action and increase their performance.
Start extracting value from your data
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