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Offline Experimentation in Machine Learning Teams

The Product Coalition

One of the main advantages of working in many machine learning products is the ability to simulate a scenario based on historical data by performing offline experiments. If a 10% offline increase in a KPI only translates to a 0.1% Let’s dive into it. The next step is to split the data into a training and evaluation set.

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Four Key Product Management Lessons from a Product Manager at Mailchimp

Alchemer Mobile

Whether you’re new to the product management field or a seasoned professional, it’s always valuable to learn from your peers’ lived experiences. While you can watch the full hour-long interview here , this post breaks down four of the key lessons we learned from Kendrick Wang, product manager at Mailchimp.

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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. Historically, business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more.

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Product to Product: Squarespace’s Inga Chen on machine learning

Roadmunk

Product to Product will feature two product people talking about one product-specific topic— like applying machine learning to the right problems and building a healthy PM culture (and what “PM culture” is). Eleni: Can you clarify the difference between AI, machine learning, and deep learning? .

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What AI Means to a Data Scientist

Birst BI

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics.

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Metrics that matter to Primephonic: the KPI that drives product roadmap prioritization

Mixpanel

Having that personal aspect contradicts the way other industries are moving into fully automated recommendations, artificial intelligence, machine learning. The post Metrics that matter to Primephonic: the KPI that drives product roadmap prioritization appeared first on Mixpanel.

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Metrics that matter to Primephonic: the KPI that drives product roadmap prioritization

Mixpanel

Having that personal aspect contradicts the way other industries are moving into fully automated recommendations, artificial intelligence, machine learning. The post Metrics that matter to Primephonic: the KPI that drives product roadmap prioritization appeared first on Mixpanel.