Fast Forward Labs Research now available without a subscription
moving forward, all new reports will be publicly available and free to download. in addition, we will be providing access to updated versions of older reports over time, so check back often to explore available free research.
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sb沙巴体育cloudera fast forward labs research focuses on emerging trends that are still changing due to algorithmic breakthrough, hardware breakthrough, technological commoditization, and data availability. accompanying the reports are working prototypes that exhibit the capabilities of the algorithm and offer detailed technical advice on its practical application.
What’s in a research report?
sb沙巴体育a cloudera fast forward labs research report opens up new use cases for your data and delivers a vital head start through:
- Research reports, which focus on different emerging data and machine learning-enabled capabilities that will be relevant in a six-month to two-year timeframe
- A prototype demonstrating its application
In addition, you can subscribe to our newsletter for updates on new research and developments in the field.
Causality for Machine Learning
The intersection of causal inference and machine learning is a rapidly expanding area of research that's already yielding capabilities to enable building more robust, reliable, and fair machine learning systems. This report offers an introduction to causal reasoning including causal graphs and invariant prediction and how to apply causal inference tools together with classic machine learning techniques in multiple use-cases.
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