Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. The first step in any machine learning project is finding and getting access to the data store. Doing all these takes time and resources away from the exciting work: building AI Applications. Let’s see this in action.

Machine Learning 80

Machine Learning Predictive Modeling Data Science Testing 80

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. Create a plan to build a model.

Deep Learning 110

Deep Learning Machine Learning Modeling Reporting 110

Cloudera

FEBRUARY 25, 2021

While there are many factors that can contribute to this inefficiency, one of the most prevalent hurdles to overcome has to do with simply getting projects off the ground and selecting the right approaches, algorithms, and applications that will lead to fast results and trustworthy decision making. .

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Cloudera

JUNE 28, 2022

Building real-time streaming analytics data pipelines requires the ability to process data in the stream. For each transaction, NiFi makes a call to a production model in Cloudera Machine Learning (CML) to score the fraud potential of the transaction. containing data that may have to be used to enrich the streaming data.

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

Cloudera

OCTOBER 19, 2021

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. And once the pipeline has been developed through the UI, users can deploy and manage these data pipeline jobs like other CDE applications thru the API/CLI/UI. Pipeline Authoring UI for Airflow.

Data Transformation 115

Data Transformation Interactive Machine Learning Testing 115

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Apache Flink.

Analytics 86

Analytics Dashboards Statistics Visualization 86