It's nice in the valley...

It's nice in the valley...

It's nice in the valley...It's nice in the valley...It's nice in the valley...

Southeast Michigan's premier provider of machine learning solutions

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Technology Experience

Strategy + Machine Learning

Strategy + Machine Learning

Decades of Experience as High Tech Strategy and Development Consultants

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Strategy + Machine Learning

Strategy + Machine Learning

Strategy + Machine Learning

Perfect Combination of Business Strategy, Machine Learning, and Practical Experience

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Cost Effective Approach

Strategy + Machine Learning

Cost Effective Approach

Significantly reduce costs by utilizing the latest techniques without sacrificing any quality of service.

What is a "gradient valley"?

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Gradient Descent is a method often used in data science (as well as math in general), to optimize the model that you ultimately build for analyzing new data. To sum it up, it finds the global minimum in our function, where the lowest value is the optimal value for us.  As shown in this graphical representation, there are peaks and valleys in this key value.  The valleys are the optimal points, so we seek to optimize the model using various forms of gradient descent to find the best of those valleys.  So, as we say at Gradient Valley, it's nice in the Valley!  The Gradient Valley.

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GRADIENT VALLEY

120 East Huron Street, Ann Arbor, Michigan 48104, United States