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Cloudera

One month free trial offer

Not just up to date, ahead of it

Cloudera Fast Forward Labs’ research reports investigate trends that have emerged in the last couple of years and are still changing due to algorithmic breakthroughs, hardware breakthroughs, technological commoditization, and data availability for example.

With free access to a Cloudera Fast Forward Labs research report, you will learn about cutting edge technologies that are changing the way companies do business every day.

Access includes:

  • A research report focusing on a different emerging machine learning technology
  • A working prototype exhibiting the capabilities of the technology and providing detailed technical advice on its practical applications

Don’t miss this key opportunity to gain insight into how you can differentiate your business in a competitive landscape. Complete the form to gain one month's unlimited access to the research report and accompanying prototype of your choice.

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Interpretability

Interpretability

In this report, we show how to make models interpretable without sacrificing their capabilities or accuracy.

Probabilistic programming

Probabilistic programming

Here, we show how to use probabilistic programming and Bayesian inference to easily build tools that make better predictions for more effective decision making.

Summarization

Summarization

Learn how to use deep learning and embeddings to make text computable for a variety of business applications and products.

Deep learning: Image analysis

Deep learning: Image analysis

This report explores the history and current state of deep learning, explains how to apply it, and predicts future developments.

Probabilistic methods for realtime streams

Probabilistic methods for realtime streams

Here, we explore probabilistic methods that offer highly efficient models for extracting value from streams of data as they are generated.

Natural language generation

Natural language generation

In this report, we look at how machine systems can turn highly structured data into human language narrative.

Semantic recommendations

Semantic recommendations

In this report, we show how using the semantic content of items can help solve common recommendation pitfalls such as the cold start problem, and open up new product possibilities.

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