Data Science Tech Brief By HackerNoon

Data Science Tech Brief By HackerNoon

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Data Science Tech Brief By HackerNoon episodes

  • 3 Best Ways To Import JSON To Google Sheets [Ultimate Guide]

    This story was originally published on HackerNoon at: https://hackernoon.com/3-best-ways-to-import-json-to-google-sheets-ultimate-guide-3k8s24ya.


    3 ways to pull JSON data into a Google Spreadsheet
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data-science, #data-analytics, #json, #google-sheets, #data-analysis, #rest-api, #programming, #programming-top-story, #web-monetization, and more.


    This story was written by: @meelad-mashaw. Learn more about this writer by checking @meelad-mashaw's about page,
    and for more stories, please visit hackernoon.com.


    You can get JSON data into Google Sheets by coding a script, using a no-code tool, or hiring a freelancer/developer to do it for you.

    14 min
  • Exploring Obyte Use Cases: Programmable Payments, Chatbots, and Beyond - Part I

    This story was originally published on HackerNoon at: https://hackernoon.com/exploring-obyte-use-cases-programmable-payments-chatbots-and-beyond-part-i.


    Whether you're new or experienced in crypto, Obyte provides an accessible and user-friendly environment for exploring the potential of decentralized apps.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #guide-to-dags, #distributed-ledger-technology, #how-does-dag-work, #user-experience, #obyte, #chatbots, #smart-contracts, #good-company, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.


    This story was written by: @obyte. Learn more about this writer by checking @obyte's about page,
    and for more stories, please visit hackernoon.com.


    Obyte is an open-source distributed ledger (DAG) system. DAGs can be used to pay for goods and services without using banks or middlemen. Obyte has many features and use cases to explore.

    7 min
  • A Professional Sports Gambler Used Analytics to Turn a $700,000 Loan Into More Than $300 Million

    This story was originally published on HackerNoon at: https://hackernoon.com/a-professional-sports-gambler-used-analytics-to-turn-a-$700000-loan-into-more-than-$300-million.


    Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #analytics, #behind-the-scenes, #inside-the-industry, #wild-truth-unveiled, #gambler-life, #sports-gambling-insights, #tech-twitter-thread, #sports, and more.


    This story was written by: @techtweeter. Learn more about this writer by checking @techtweeter's about page,
    and for more stories, please visit hackernoon.com.


    1) Let's start with some history...
    Matthew Benham graduated from the world-renowned University of Oxford in 1989 with a degree in Physics.
    He spent the next 12 years working in finance, eventually being named a VP at Bank of America.
    But in 2001, he decided to change careers.

    1 min
  • Big Tech Companies Have Your Health Info Thanks to Telehealth Startups

    This story was originally published on HackerNoon at: https://hackernoon.com/big-tech-companies-have-your-health-info-thanks-to-telehealth-startups.


    But what patients probably don’t know is that WorkIt was sending their delicate, even intimate, answers about drug use and self-harm to Facebook...
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data, #data-privacy, #technology, #big-tech, #themarkup, #telehealth, #health, #healthtech, and more.


    This story was written by: @TheMarkup. Learn more about this writer by checking @TheMarkup's about page,
    and for more stories, please visit hackernoon.com.


    A joint investigation by STAT and The Markup found that 50 direct-to-consumer telehealth companies were leaking sensitive medical information to the world’s largest advertising platforms. Trackers on 25 sites, including those run by industry leaders Hims & Hers, Ro, and Thirty Madison, told at least one big tech platform that the user had added an item like a prescription medication to their cart, or checked out with a subscription for a treatment plan.

    25 min
  • Advancing User Data Governance with Data Lineage

    This story was originally published on HackerNoon at: https://hackernoon.com/advancing-user-data-governance-with-data-lineage.


    This article will discuss how data lineage can help in user data governance and explore how serverless technology can be incorporated to achieve better results.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data-lineage, #data-governance, #data, #data-science, #big-data, #data-management, #data-lifecycle-management, #optimization, and more.


    This story was written by: @maharshijha. Learn more about this writer by checking @maharshijha's about page,
    and for more stories, please visit hackernoon.com.


    Data has become an essential resource for businesses, driving decision-making and innovation. As the volume of data continues to grow, ensuring data quality and compliance is more important than ever. One way to achieve better data governance is through data lineage, which tracks the flow of data throughout an organization. This article will discuss how data lineage can help in user data governance and explore how serverless technology can be incorporated.

    10 min
  • Solving Time Series Forecasting Problems: Principles and Techniques

    This story was originally published on HackerNoon at: https://hackernoon.com/solving-time-series-forecasting-problems-principles-and-techniques.


    Explore time series analysis: from cross-validation, decomposition, transformation to advanced modeling with ARIMA, Neural Networks, and more.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data-science, #timeseries, #ai, #machine-learning, #data-engineering, #feature-engineering, #ml-model, #data, and more.


    This story was written by: @teenl0ve. Learn more about this writer by checking @teenl0ve's about page,
    and for more stories, please visit hackernoon.com.


    This article delves into time series analysis, discussing its significance in decision-making processes. It elucidates various techniques such as cross-validation, decomposition, and transformation of time series, as well as feature engineering. It provides a deep understanding of different modeling approaches, including but not limited to, Exponential Smoothing, ARIMA, Prophet, Gradient Boosting, Recurrent Neural Networks (RNNs), N-BEATS, and Temporal Fusion Transformers (TFT). Despite the wide range of techniques covered, the article emphasizes the need for experimentation to choose the method that yields the best performance given the data characteristics and problem specifics.

    13 min
  • How to Manage Data Residency

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-manage-data-residency.


    After explaining the theory behind Data Residency, It's time to get our hands dirty and implement it in a simple demo.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data, #data-storage, #apache-shardingsphere, #apache-apisix, #data-location, #data-residency, #apache, #optimization, and more.


    This story was written by: @nfrankel. Learn more about this writer by checking @nfrankel's about page,
    and for more stories, please visit hackernoon.com.


    In the previous post, I proposed a sample architecture where location-based routing happened at two different stages. In this post, we'll see how we can implement routing at the two levels. We'll use Apache ShardingSphere as an indirect layer between the application and the data sources.

    7 min
  • Tales of the Undead Salmon: Exploring Bonferroni Correction in Multiple Hypothesis Testing

    This story was originally published on HackerNoon at: https://hackernoon.com/tales-of-the-undead-salmon-exploring-bonferroni-correction-in-multiple-hypothesis-testing.


    Bonferroni correction as a solution for multiple comparisons problem in A/B tests. Here is an explanation of how it works with a simulation written in Python.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data-science, #ab-testing, #statistics, #data-analytics, #research, #statistical-inference, #hypothesis-testing, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-vi, #hackernoon-fr, #hackernoon-pt, #hackernoon-ja, and more.


    This story was written by: @igorkhomyanin. Learn more about this writer by checking @igorkhomyanin's about page,
    and for more stories, please visit hackernoon.com.


    This article explains the problem of testing multiple hypotheses without proper adjustments. It introduces the Bonferroni correction as a solution to control false positive results. Simulation demonstrates the effectiveness of the correction. Understanding and applying corrections in multiple hypothesis testing is essential for accurate data analysis and decision-making.

    13 min
  • 164 Stories To Learn About Nlp

    This story was originally published on HackerNoon at: https://hackernoon.com/164-stories-to-learn-about-nlp.


    Learn everything you need to know about Nlp via these 164 free HackerNoon stories.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #nlp, #learn, #learn-nlp, #machine-learning, #artificial-intelligence, #ai, #natural-language-processing, #data-science, and more.


    This story was written by: @learn. Learn more about this writer by checking @learn's about page,
    and for more stories, please visit hackernoon.com.

    44 min
  • The New Data Engineering Landscape: DataOps, VectorOps, and LangChain

    This story was originally published on HackerNoon at: https://hackernoon.com/the-new-data-engineering-landscape-dataops-vectorops-and-langchain.


    DataOps, VectorOps, and LangChain integration creates powerful applications that combine efficient data management, high-dimensional data processing.
    Check more stories related to data-science at: https://hackernoon.com/c/data-science.
    You can also check exclusive content about #data, #dataops, #devops, #vectorops, #vector-search, #langchain, #gpt, #bert, and more.


    This story was written by: @epappas. Learn more about this writer by checking @epappas's about page,
    and for more stories, please visit hackernoon.com.


    As large language models (LLMs) like GPT-4 emerge, managing high-dimensional data structures becomes increasingly important. LangChain, an LLM-powered application development framework, integrates with DataOps and VectorOps processes and utilizes vector databases to create data-aware, interactive applications.

    7 min

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