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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Databases' organized nature facilitates management's data-searching efforts.

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The Rise of Unstructured Data

Cloudera

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The IDC categorizes data into four types: entertainment video and images, non-entertainment video and images, productivity data, and data from embedded devices. Data annotation.

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Recap of Hadoop News for April 2017

ProjectPro

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Forbes.com, April 3, 2017.

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Is Azure Data Engineer Certification (DP-203) Worth It?

Knowledge Hut

A certification in Azure can help you break into a variety of positions in businesses including healthcare, banking, and entertainment. They may use file stores, data streams, relational databases, and non-relational databases as their data platforms. These are a crucial component of forecasting models.

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Data Scientist roles and responsibilities

U-Next

Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. Entertainment & Media: The major companies in the entertainment and media sector, such as Vimeo, Amazon instant video, Showtime, etc.,

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. TensorFlow is an open-source machine learning framework accommodating many machine and deep learning algorithms.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Concepts of deep learning can be used to analyze this dataset properly.