dynamic experimentation

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Special Screening

Join this week to attend a special screening of a secret event. We can tell you that this week the discussion may be about the usual - Humans and algorithms and Computational Social Science. Perhaps we'll talk about what it may mean to be human, or maybe what it means to be a machine.

Building a Business Case

Let's introduce customerization to your business case! There are a few steps that go into building a machine learning business case 7am (San Francisco). 8am (Denver). 9am (Chicago). 10am (New York). 3pm (London). 4pm (Germany). 4pm (South Africa). 5pm (Eastern Europe).

Data Science Salon Texas

Porchlight 271 11th Ave NY, NY 10001 271 11th Ave NY, NY 10001, New York, NY, United States

The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative new solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.

Your Business Needs Dynamic Experimentation – continuously in production experiments

Online See "website", Your Computer, The world

Dynamic experimentation is a powerful tool that has the potential to revolutionize the way businesses interact with their customers. Join us as we take a brief look at dynamic experimentation, it's benefits and a few examples of successful applications. Click to learn more

Dynamic Experimentation for Customer Recommendations in Real-Time

Online See "website", Your Computer, The world

Dynamic experimentation for customer recommendations in real-time is an innovative approach to providing customers with tailored recommendations based on their individual preferences. ecosystem.Ai uses a combination of machine learning and computational social science to predict customer behavior and provide personalized recommendations.

Incorporating Customer Feedback for Better Predictions

Online See "website", Your Computer, The world

Responding to customers requires an understanding of the ever-changing human contexts in which they exist. It is important to remain knowledgeable and aware of current trends, industry changes, and the needs of customers. We will discuss methods of monitoring customer responses to experiments using dashboards and activating further dynamic experimentation in ecosystem.Ai.

Dynamic recommenders with Bayesian exploration

Online See "website", Your Computer, The world

Dynamic recommenders with Bayesian exploration are able to provide more accurate and personalized recommendations than traditional recommenders. By taking into account the user’s past behavior, the recommenders can adjust the recommendations to better fit the user.

Practical applications of Bayesian regression with ecosystem.Ai

Online See "website", Your Computer, The world

Bayesian regression is a statistical method used to estimate the relationship between variables. It uses Bayesian inference, which is a form of statistical inference that relies on probability theory. In Bayesian regression, the relationships between variables are estimated through data rather than through assumptions.

Making better recommendations using ecosystem.Ai

Online See "website", Your Computer, The world

During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.

Online See "website", Your Computer, The world

During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.