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The Rise of Unstructured Data

Cloudera

And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Mobile and WiFi data transmissions have increased their share of total transmissions over the last five years, at the expense of wired transmissions. . of that data is analysed. Data annotation.

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Deep Learning vs Machine Learning -What's the Difference?

ProjectPro

“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth. respectively.

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What is the Future Scope of Computer Science?

Knowledge Hut

million in 2021 and is expected to keep growing. This growth is because of big data analytics, cloud computing, and IOT in industries. from 2021 to 2031. Meanwhile, computer science graduates are well paid with a median salary upwards of $97,430 per year in May 2021. It can expand at a CAGR of 25.73% and reach USD 3168.13

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Natural Language Processing in Healthcare: Using Text Analysis for Medical Documentation and Decision-Making

AltexSoft

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

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Recap of Hadoop News for May 2017

ProjectPro

billion in 2021. MapR unveiled Quick Start Solution (QSS) its novel solution focusing on deep learning applications. QSS is a deep learning product and service offering by the popular hadoop vendor that will enable the training of compute intensive deep learning algorithms.

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10 Sentiment Analysis Project Ideas with Source Code [2023]

ProjectPro

Unless you know how to use deep learning for non-textual components, they won't affect the polarity of sentiment analysis. Remove duplicate characters and typos since data cleaning is vital to get the best results. Over the years, analyses were mostly limited to structured data within organizations.

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Data Engineer vs Data Scientist- The Differences You Must Know

ProjectPro

Expert-level knowledge of programming, Big Data architecture, etc., is essential to becoming a Data Engineering professional. Having a broad knowledge of machine learning or statistics is optional. A data scientist creates programming code and combines it with statistical knowledge to develop insights into business data.