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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

Altexsoft

ML-based spam detection technologies can filter out spam emails from authentic ones with minimum errors. Information from an invoice is extracted, tagged, and structured. Virtual assistants like Siri and Alexa and ML-based chatbots pull answers from unstructured sources for questions posed in natural language. Spam detection.

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7 Best Practices to Use While Annotating Images

Altexsoft

No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. Now, the primary function of data labeling is tagging objects on raw data to help the ML model make accurate predictions and estimations. Explaining Data Annotation for ML.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. ML models powering AI use cases are becoming more and more ubiquitous in a variety of environments, especially at industrial organizations adopting Industry 4.0 technologies.

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Cloud Analytics Powered by FinOps

Cloudera

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Afterward, those tags are also used to track resource usage, assign usage to cost centers/departments, and trigger automation policies.

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Mastering Cloud Transformation for Business: Program Model

Perficient

In this series of blog posts, we will explore the four pillars of a successful Cloud Transformation: Program Model, Cloud Foundations, Portfolio Transformation, and Enterprise App Migration. Cloud adoption can be a very powerful driver toward desired ESG outcomes. Be sure to check it out.

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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem.