Machine Learning Tech Brief By HackerNoon

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon episodes

  • Feature Engineering for Machine Learning Models: Everything You Need to Know

    This story was originally published on HackerNoon at: https://hackernoon.com/feature-engineering-for-machine-learning.


    Discover how feature engineering enhances ML models. Learn effective techniques for creating and processing features to maximize and process features.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #feature-engineering, #ml-models, #feature-engineering-techniques, #predictive-modeling, #ml-model-training-data, #ml-model-performance, #data-preprocessing, #hackernoon-top-story, and more.


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


    Feature engineering is crucial for maximizing the performance of machine learning models. By creating and processing meaningful features, even simple algorithms can achieve superior results. Key techniques include aggregation, differences and ratios, age encoding, indicator encoding, one-hot encoding, and target encoding. Effective feature processing involves outlier treatment, handling missing values, scaling, dimensionality reduction, and transforming targets to normal distribution.

    20 min
  • Generative AI Clash: OpenAI’s Emotional AI vs. Google’s Enhanced Search

    This story was originally published on HackerNoon at: https://hackernoon.com/generative-ai-clash-openais-emotional-ai-vs-googles-enhanced-search.


    Read this post for insight into how OpenAI and Google are improving their core generative AI products.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #openai, #google, #chatgpt, #gemini, #ai, #future-of-ai, #ai-race, #virtual-assistant, and more.


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


    OpenAI and Google are locked in a fierce battle over generative AI. Both companies made significant announcements the week of May 13, 2024, with OpenAI making ChatGPT more human and Google leaning into AI-powered search.

    5 min
  • A Novel Method for Analysing Racial Bias: Appendix: Toxicity Measurement

    This story was originally published on HackerNoon at: https://hackernoon.com/a-novel-method-for-analysing-racial-bias-appendix-toxicity-measurement.


    In this study, researchers propose a novel method to analyze representations of African Americans and White Americans in books between 1850 to 2000.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #natural-language-processing, #analysing-racial-bias, #time-adjusted-toxicity, #semantic-axes, #socio-political-changes, #google-ngrams-data, #sentiment-analysis, #bias-in-literature, and more.


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


    In this study, researchers propose a novel method to analyze representations of African Americans and White Americans in books between 1850 to 2000.

    2 min
  • A Novel Method for Analysing Racial Bias: Collection of Person Level References: Analysis and Result

    This story was originally published on HackerNoon at: https://hackernoon.com/a-novel-method-for-analysing-racial-bias-collection-of-person-level-references-analysis-and-result.


    In this study, researchers propose a novel method to analyze representations of African Americans and White Americans in books between 1850 to 2000.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #natural-language-processing, #analysing-racial-bias, #time-adjusted-toxicity, #semantic-axes, #socio-political-changes, #google-ngrams-data, #sentiment-analysis, #bias-in-literature, and more.


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


    In this study, researchers propose a novel method to analyze representations of African Americans and White Americans in books between 1850 to 2000.

    9 min
  • Neural Network for Valuing Bitcoin: Abstract and Introduction

    This story was originally published on HackerNoon at: https://hackernoon.com/neural-network-for-valuing-bitcoin-abstract-and-introduction.


    This study considers a bivariate jump-diffusion model to describe Bitcoin price dynamics and the number of Google searches affecting the price.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #jump-diffusion-model, #black-scholes-equation, #artificial-neural-network, #neural-network-for-crypto, #neural-network-for-bitcoin, #neural-network-for-valuing-btc, #multi-layer-perceptron, and more.


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


    This study considers a bivariate jump-diffusion model to describe Bitcoin price dynamics and the number of Google searches affecting the price, representing a sentiment indicator.

    12 min
  • Neural Network for Valuing Bitcoin: Numerical Results, Implementation and Discussion

    This story was originally published on HackerNoon at: https://hackernoon.com/neural-network-for-valuing-bitcoin-numerical-results-implementation-and-discussion.


    This study considers a bivariate jump-diffusion model to describe Bitcoin price dynamics and the number of Google searches affecting the price.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #artificial-intelligence, #jump-diffusion-model, #black-scholes-equation, #artificial-neural-network, #neural-network-for-crypto, #neural-network-for-bitcoin, #neural-network-for-valuing-btc, #multi-layer-perceptron, and more.


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


    This study considers a bivariate jump-diffusion model to describe Bitcoin price dynamics and the number of Google searches affecting the price.

    24 min
  • These 6 AI Tools Will 10x Your Productivity

    This story was originally published on HackerNoon at: https://hackernoon.com/these-6-ai-tools-will-10x-your-productivity.


    While non-AI tools can also be useful, these specific tools have significantly improved my efficiency and performance.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai, #productivity, #productivity-tools, #productivity-hacks, #artificial-intelligence, #chatgpt, #grammarly, #hackernoon-top-story, #web-monetization, and more.


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


    On this page, we are fans of artificial intelligence, so I would like to share my top five productivity tools that are all AI-based. While non-AI tools can also be useful, these specific tools have significantly improved my efficiency and performance. Most of these tools are or will be implemented directly on Hackernoon!

    3 min
  • Could Stubborn Inflation Cause the Generative AI Bubble to Finally Burst on Wall Street?

    This story was originally published on HackerNoon at: https://hackernoon.com/could-stubborn-inflation-cause-the-generative-ai-bubble-to-finally-burst-on-wall-street.


    Although US markets have become accustomed to high inflation data, there had been optimism that 2024 would see multiple Federal Reserve rate cuts taking place.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #generative-ai, #stock-market, #generative-ai-stocks, #sandp-500-performance-in-2024, #genai-bubble, #generative-ai-stock-bubble, #nvidia-stock-bubble, #good-company, and more.


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


    Although US markets have become accustomed to high inflation data, there had been optimism that 2024 would see multiple Federal Reserve rate cuts taking place as inflation cooled.

    8 min
  • Adaptive Graph Neural Networks for Cosmological Data Generalization: Abstract and Intro

    This story was originally published on HackerNoon at: https://hackernoon.com/adaptive-graph-neural-networks-for-cosmological-data-generalization-abstract-and-intro.


    Deep learning meets cosmological data with Domain Adaptive Graph Neural Networks for robust parameter extraction.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #deep-learning, #cosmological-data, #graph-neural-networks, #domain-adaptation, #maximum-mean-discrepancy, #cosmological-simulations, #neural-information-processing, #astrophysics, and more.


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

    5 min
  • BlackRock's Larry Fink on Social Challenges in Human-Machine Substitution

    This story was originally published on HackerNoon at: https://hackernoon.com/blackrocks-larry-fink-on-social-challenges-in-human-machine-substitution.


    For Fink, fewer people means a better quality of life in the developed world thanks to automation.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
    You can also check exclusive content about #ai-adoption, #ai-in-developed-nations, #ai-in-underdeveloped-countries, #ai-and-robotics, #world-economic-forum, #human-machine-substitution, #ai-applications, #future-of-ai, and more.


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


    Blackrock CEO Larry Fink tells the World Economic Forum (WEF) that developed countries with shrinking populations will be better prepared for the social problems that come from “substituting humans for machines.”

    4 min

About Machine Learning Tech Brief By HackerNoon

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Learn the latest machine learning updates in the tech world.

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