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.
Your data nerd best friends
Despite its promise, machine learning can be downright daunting. Best efforts can be quickly undermined by uncertainty about a rapidly changing technical landscape, bewilderment on how best to build and organize teams, and difficulty separating hype from reality.
Free up executives and data science teams to focus on the future of the business with a virtual dedicated research staff that continually monitors the latest techniques and industry best practices, determining how best to apply them to your difficult business problems.
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?
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.
Latest research
FREE
Structural Time Series
Time series data is ubiquitous. This report examines generalized additive models, which give us a simple, flexible, and interpretable means for modeling time series by decomposing them into structural components. We look at the benefits and trade-offs of taking a curve-fitting approach to time series, and demonstrate its use via Facebook’s Prophet library on a demand forecasting problem.
Cloudera Machine Learning Advisory Services
Understand where to focus valuable resources, how to implement effective practices, and how to expedite moving from development to production while avoiding technical dead ends.
The Fast Forward Labs Blog
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Question Answering: Enhancing Search with Deep Learning and NLPRecently, Cloudera Fast Forward held a webinar on automated question answering. What is automated qu...
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ML Interpretability: LIME and SHAP in prose and codeAt Cloudera Fast Forward, we see model interpretability as an important step in the data science wor...
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