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Bun - A fast-rising star? by Will McKenzie

Scott Logic

I’d been hearing lots of talk about Bun, particularly on the Bytes email blast but hadn’t had a chance to properly check it out so I was particularly interested in seeing how it did. There were points where having confirmed that we were basically running the same algorithm, I was using my line manager’s Rust versions to get the final answers.

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Pinterest is now on HTTP/3

Pinterest Engineering

These advancements fit well with Pinterest use cases  —  enabling faster connection establishment (time to first byte of first request), improved congestion control (large media as we have), multiplexing without TCP head-of-line blocking (multiple downloads at the same time), and continued in-flight requests when pinners’ device network/ip changes.

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Top 20+ Cyber Security Projects for 2023 [With Source Code]

Knowledge Hut

The project will focus on creating a user-friendly interface as a web / Desktop application and incorporating robust algorithms to assess password strength accurately. It will leverage a comprehensive database of known vulnerabilities and employ intelligent matching algorithms to identify and prioritize the vulnerabilities found.

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Machine Learning in Health Care: Applications, Job Outlook

Knowledge Hut

Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions. Predictive Analytics can assist in early detection and intervention.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. Data annotation.

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What’s the Relationship Between Big Data and Machine Learning?

U-Next

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . quintillion bytes. This process can be done using a variety of algorithms, which are then used to make predictions or decisions. . Overall, Big Data and Machine Learning are complementary fields. billion by 2028.

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Geospatial Index 102

Towards Data Science

Job information after creating a clustered table(Image by author) Execution details after creating a clustered table(Image by author) From the job info and execution details, you can see the number of bytes processed and records scanned reduced significantly(from 1.5 GB to 55 MB and 7M to 260k). At the end of the day, it’s not a free lunch.

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