Remove 2009 Remove Algorithm Remove Technology Remove Unstructured Data
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Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Streaming Data: Streaming is basically unstructured data produced by different types of data sources.

Scala 52
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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

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Top 8 ChatGPT Competitors and Alternatives for [2024]

Edureka

Launched in 2009, Bing is known for its visually appealing interface and features like rewards, offering a user-friendly alternative to Google. Unlike some AI counterparts, Gemini thrives on structured and unstructured data, wielding knowledge from scientific articles to code repositories.

Media 40
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What is Hadoop 2.0 High Availability?

ProjectPro

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0 Hadoop 2.0

Hadoop 40