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How to Algorithmically Drive Your Digital Transformation

Enterprise Artificial Intelligence: Hype or Reality?

Reddit's Director of Engineering On The Trajectory of Data Science and AI

What Data Science Looks Like at Reddit

Machine Learning Logistics

Time Series Analysis for Marketing and Beyond

Scaling Data Science and Its Impact

Welcome to DataScience: Elevate - San Francisco

Using Data Science to Find and Keep Talent

Data Science Workflows That Lead to Business Results

Platform Demos and Use Cases

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Platform Demo: Using Environments for Data Science Work

Platform Demo: Building Shiny Apps for Business Users

Platform Demo: Publishing a Shiny App

Platform Demo: Launching a Jupyter Session With Deep Learning Tools

Platform Resources: Dynamic Pricing

Platform Resources: Identifying Binge Buyers

Platform Resources: Churn Modeling Demo

Platform Resources: The Value of Churn Modeling

How the Platform Turns Insights into Action

Customer Success Story: Belkin


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Version Control for Enterprise Data Science Teams

Building Data Science Capabilities That Scale

Detecting IoT Network Intrusion With Plotly

Why a Data Science Code of Ethics is Good for (Your) Business

Interpreting Machine Learning Models

Managing Data Science (Before It Manages You)

Mining Customer Opinions

Designing Recommendation Engines

Intro to Neural Nets in TensorFlow, Part II

How Data Science Platforms Help Insights Leaders Outperform Competition

Learn Data Science

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Using Data Science to Improve Automated Camera Technology

Explaining Black-Box Machine Learning Predictions

Introduction to Recommendation Engines

Introduction to Bayesian Inference

Legal Landscape and Social Climate for LGBT People Across the U.S.

Detecting Breaking News on Twitter

Matrix Decomposition

MLeap and the Combust Architecture

Bayesian Inference

Introduction to Machine Learning