How to Reduce Majority Bias in AI Models | HackerNoonThis work explores the inductive biases of fair learning algorithms and proposes a robust optimization scheme to enhance demographic parity.
How to Test for AI Fairness | HackerNoonThe research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.
How to Reduce Majority Bias in AI Models | HackerNoonThis work explores the inductive biases of fair learning algorithms and proposes a robust optimization scheme to enhance demographic parity.
How to Test for AI Fairness | HackerNoonThe research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.
Conducting a Qualitative Analysis by Comparing the Outputs of Our Think-and-Execute Framework | HackerNoonTHINKAND-EXECUTE outperforms baseline methods in qualitative output analysis.
Beyond Notebook: Building Observable Machine Learning SystemsA unified ML management system orchestrates components like experiment tracking, model serving, and monitoring.Interactive visualization tools like Streamlit enhance rapid prototyping and stakeholder dialogue.Containerization with Docker and Kubernetes is vital for scaling ML applications.Employing a monitoring trinity ensures observability and performance reliability in ML systems.
Effortless Spreadsheet Normalisation With LLMClean, well-structured data is crucial for accurate analysis and decision-making.
How to Switch from Data Analyst to Data ScientistTransitioning from a data analyst to a data scientist requires strategic skill development and understanding of role differences.
How to Spot and Prevent Model Drift Before it Impacts Your BusinessEffective monitoring of machine learning models is essential to avoid costs associated with undetected model drift.
Google's Data Science Agent: Can It Really Do Your Job? | Towards Data ScienceGoogle's Data Science Agent automates notebook creation in Colab, allowing users to easily perform data analysis by simply describing their goals.
Why Machine Learning Sampling is Harder Than You Think (And How to Do it Right) | HackerNoonSampling in machine learning prevents overfitting and improves predictive accuracy.
Beyond Notebook: Building Observable Machine Learning SystemsA unified ML management system orchestrates components like experiment tracking, model serving, and monitoring.Interactive visualization tools like Streamlit enhance rapid prototyping and stakeholder dialogue.Containerization with Docker and Kubernetes is vital for scaling ML applications.Employing a monitoring trinity ensures observability and performance reliability in ML systems.
Effortless Spreadsheet Normalisation With LLMClean, well-structured data is crucial for accurate analysis and decision-making.
How to Switch from Data Analyst to Data ScientistTransitioning from a data analyst to a data scientist requires strategic skill development and understanding of role differences.
How to Spot and Prevent Model Drift Before it Impacts Your BusinessEffective monitoring of machine learning models is essential to avoid costs associated with undetected model drift.
Google's Data Science Agent: Can It Really Do Your Job? | Towards Data ScienceGoogle's Data Science Agent automates notebook creation in Colab, allowing users to easily perform data analysis by simply describing their goals.
Why Machine Learning Sampling is Harder Than You Think (And How to Do it Right) | HackerNoonSampling in machine learning prevents overfitting and improves predictive accuracy.
Bridging insights and innovation: Incorporating data modelling and analytics in business - London Business News | Londonlovesbusiness.comBusinesses need advanced analytics to unlock data's potential and improve decision-making and customer experiences.
Elevating Customer Experience with Predictive Analytics: Insights from Chitrapradha Ganesan | HackerNoonExceptional customer experience is vital for competitive advantage.Predictive analytics enhances personalized customer engagement.
Bridging insights and innovation: Incorporating data modelling and analytics in business - London Business News | Londonlovesbusiness.comBusinesses need advanced analytics to unlock data's potential and improve decision-making and customer experiences.
Elevating Customer Experience with Predictive Analytics: Insights from Chitrapradha Ganesan | HackerNoonExceptional customer experience is vital for competitive advantage.Predictive analytics enhances personalized customer engagement.
SQL vs. NoSQL Explained: When to Use Which and Why It Matters to Modern Data ManagementSQL and NoSQL databases are essential in modern data management to handle data growth and real-time processing needs.
Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%Google introduces tiered storage for Spanner, offering a cost-effective HDD option for older data management.The new HDD storage is 80% cheaper than SSD, optimizing operational costs.
SQL vs. NoSQL Explained: When to Use Which and Why It Matters to Modern Data ManagementSQL and NoSQL databases are essential in modern data management to handle data growth and real-time processing needs.
Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%Google introduces tiered storage for Spanner, offering a cost-effective HDD option for older data management.The new HDD storage is 80% cheaper than SSD, optimizing operational costs.
Snowflake's Data Clean Room promises to ease analysis of PII dataSnowflake's free Data Clean Room application simplifies data collaboration for non-technical users.
I was a data scientist at NASA. Here are 5 things to know before you enter the field as it evolves with AI.Discipline knowledge and a strong network are essential for aspiring data scientists, along with adaptability to AI.
The Right Way to Make Data-Driven DecisionsData interpretation is crucial for effective decision-making.Misuse of data can lead to poor business outcomes.A balanced approach towards data can enhance decision quality.
Google just released a new AI agent for data scientists on Colab, and it's free to useGoogle's Data Science Agent automates data analysis, drastically reducing processing time from weeks to minutes for Colab users.
Using Python to Measure Immigration TrendsAnalyzing immigration patterns in Great Neck, NY through ACS data reveals significant demographic changes since the author's childhood.
Fourier Transform Applications in Literary AnalysisMathematics can reveal hidden patterns in poetry, enhancing understanding of the art form.
Working With Python Polars - Real PythonPolars is an emerging high-performance DataFrame library for efficient data manipulation.
Practical SQL Puzzles That Will Level Up Your SkillUnderstanding SQL patterns enhances query efficiency and problem-solving skills.Real-world examples make SQL challenges relatable and relevant for learning.
The Right Way to Make Data-Driven DecisionsData interpretation is crucial for effective decision-making.Misuse of data can lead to poor business outcomes.A balanced approach towards data can enhance decision quality.
Google just released a new AI agent for data scientists on Colab, and it's free to useGoogle's Data Science Agent automates data analysis, drastically reducing processing time from weeks to minutes for Colab users.
Using Python to Measure Immigration TrendsAnalyzing immigration patterns in Great Neck, NY through ACS data reveals significant demographic changes since the author's childhood.
Fourier Transform Applications in Literary AnalysisMathematics can reveal hidden patterns in poetry, enhancing understanding of the art form.
Working With Python Polars - Real PythonPolars is an emerging high-performance DataFrame library for efficient data manipulation.
Practical SQL Puzzles That Will Level Up Your SkillUnderstanding SQL patterns enhances query efficiency and problem-solving skills.Real-world examples make SQL challenges relatable and relevant for learning.
Data Cleansing: Harnessing Clean Data to Fuel Business InnovationClean and accurate data is essential for effective decision-making and organizational innovation.
Forensic Data Collection: A Bridge Between Digital Forensics, eDiscovery, And Artificial Intelligence - Above the LawThe success of AI is fundamentally dependent on the quality and integrity of its foundational data.
Rethinking unified observability: AI at the forefront - London Business News | Londonlovesbusiness.comUnified Observability revolutionizes business data ecosystems by integrating observability across various data sources and AI models.
Data Cleansing: Harnessing Clean Data to Fuel Business InnovationClean and accurate data is essential for effective decision-making and organizational innovation.
Forensic Data Collection: A Bridge Between Digital Forensics, eDiscovery, And Artificial Intelligence - Above the LawThe success of AI is fundamentally dependent on the quality and integrity of its foundational data.
Rethinking unified observability: AI at the forefront - London Business News | Londonlovesbusiness.comUnified Observability revolutionizes business data ecosystems by integrating observability across various data sources and AI models.
Outlier Detection with PythonHave you ever wondered why certain data points stand out so dramatically?They might hold the key to everything from fraud detection to groundbreaking discoveries.
Database Revolution Series: A Modern Guide to Data ManagementTime-Series and Vector Databases efficiently tackle complex data challenges that traditional databases cannot.Specialized databases are essential for managing specific data types in today's diverse data landscape.
Database Revolution Series: A Modern Guide to Data ManagementSQL handles structured data well, but NoSQL offers flexibility for unstructured data.
Building LinkedIn's Resilient Data Storage: A Deep Dive into Derived Data Storage with Felix GVVenice is designed for storing derived data, particularly AI feature datasets, enhancing AI inference workloads.
Database Revolution Series: A Modern Guide to Data ManagementTime-Series and Vector Databases efficiently tackle complex data challenges that traditional databases cannot.Specialized databases are essential for managing specific data types in today's diverse data landscape.
Database Revolution Series: A Modern Guide to Data ManagementSQL handles structured data well, but NoSQL offers flexibility for unstructured data.
Building LinkedIn's Resilient Data Storage: A Deep Dive into Derived Data Storage with Felix GVVenice is designed for storing derived data, particularly AI feature datasets, enhancing AI inference workloads.
Database Revolution Series: A Modern Guide to Data ManagementMulti-model and cloud-native databases are transforming data management by enabling flexibility and scalability.
Database Revolution Series: A Modern Guide to Data ManagementCloud computing has transformed application development and scalability.Serverless computing and NewSQL databases are pivotal in modern data management.
The Evolving Role of the Modern Data PractitionerData practitioners today must adapt to a diverse and evolving landscape that integrates cloud computing, software engineering, and generative AI.
Database Revolution Series: A Modern Guide to Data ManagementServerless computing and NewSQL databases are revolutionizing application development and data management for modern businesses.
Hyperscale datacentre capacities continue to rise off back of AI boom | Computer WeeklyHyperscale datacentres are expanding capacity swiftly to meet AI demands, with rapid growth expected in the coming years.
Database Revolution Series: A Modern Guide to Data ManagementMulti-model and cloud-native databases are transforming data management by enabling flexibility and scalability.
Database Revolution Series: A Modern Guide to Data ManagementCloud computing has transformed application development and scalability.Serverless computing and NewSQL databases are pivotal in modern data management.
The Evolving Role of the Modern Data PractitionerData practitioners today must adapt to a diverse and evolving landscape that integrates cloud computing, software engineering, and generative AI.
Database Revolution Series: A Modern Guide to Data ManagementServerless computing and NewSQL databases are revolutionizing application development and data management for modern businesses.
Hyperscale datacentre capacities continue to rise off back of AI boom | Computer WeeklyHyperscale datacentres are expanding capacity swiftly to meet AI demands, with rapid growth expected in the coming years.
Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data teamData team structure is crucial to effectively leverage Data and AI in organizations.A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
Database Revolution Series: A Modern Guide to Data ManagementSpecialized databases like Time-Series and Vector Databases address modern data challenges more effectively than traditional relational databases.
Database Revolution Series: A Modern Guide to Data ManagementModern data management is crucial due to the increasing diversity of data types and transformative business needs.
Database Revolution Series: A Modern Guide to Data ManagementSQL and NoSQL databases each fulfill unique roles in modern data management.
Teradata adds Enterprise Vector Store to augment RAGTeradata's Enterprise Vector Store introduces in-database vector support for enhanced AI capabilities and retrieval augmented generation.
Database Revolution Series: A Modern Guide to Data ManagementModern data management solutions are essential as traditional databases struggle with diverse data types.
Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data teamData team structure is crucial to effectively leverage Data and AI in organizations.A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
Database Revolution Series: A Modern Guide to Data ManagementSpecialized databases like Time-Series and Vector Databases address modern data challenges more effectively than traditional relational databases.
Database Revolution Series: A Modern Guide to Data ManagementModern data management is crucial due to the increasing diversity of data types and transformative business needs.
Database Revolution Series: A Modern Guide to Data ManagementSQL and NoSQL databases each fulfill unique roles in modern data management.
Teradata adds Enterprise Vector Store to augment RAGTeradata's Enterprise Vector Store introduces in-database vector support for enhanced AI capabilities and retrieval augmented generation.
Database Revolution Series: A Modern Guide to Data ManagementModern data management solutions are essential as traditional databases struggle with diverse data types.
On-premise structured extraction with LLM using Ollama | HackerNoonOllama allows easy local deployment of LLM models for structured data extraction.CocoIndex helps automate data extraction from markdown files with defined data classes.
siaprajapati99DataCD offers comprehensive databases for businesses to enhance marketing efforts and reach clients.
How Future Narratives Improve ChatGPT's Oscars Predictions | HackerNoonGPT-4's predictive accuracy is enhanced by providing contextual narratives during prompting.
Bringing Your First-Party Data To Life In 2025First-party data is crucial for leveraging customer insights and improving ROI for businesses.The shift from third-party to first-party data has been slow despite its recognized importance.
Chat with your data: How 4 genAI tools stack upAI tools vary in effectiveness for retrieving specific information from social media and structured data sources.Claude and NotebookLM performed better in targeted searches than ChatGPT and Perplexity.Challenges of navigating extensive datasets highlight real-world applications in demographic research.
You can learn a conference's worth of data journalism through these NICAR tipsheetsNICAR conference offers extensive online resources for journalists, benefitting those unable to attend in person.Sharon Machlis compiles vast NICAR resources for journalism and coding enthusiasts.
Pinterest to Train AI Models on User Data - Lindsey GamblePinterest will use user data to train its AI models, starting April 30, 2023.
Global Survey: Nearly Half of Financial Leaders Struggle with Credit Risk and Fraud PreventionFinancial services executives are increasingly turning to AI to improve credit risk management and fraud prevention strategies.
You can learn a conference's worth of data journalism through these NICAR tipsheetsNICAR conference offers extensive online resources for journalists, benefitting those unable to attend in person.Sharon Machlis compiles vast NICAR resources for journalism and coding enthusiasts.
Pinterest to Train AI Models on User Data - Lindsey GamblePinterest will use user data to train its AI models, starting April 30, 2023.
Global Survey: Nearly Half of Financial Leaders Struggle with Credit Risk and Fraud PreventionFinancial services executives are increasingly turning to AI to improve credit risk management and fraud prevention strategies.
How Alabama students went from last place to rising stars in mathHands-on learning tools in DeKalb County have significantly improved elementary school math performance post-pandemic.
Got Data in MongoDB? Here's the Easiest Way to Move It to Doris | HackerNoonApache SeaTunnel enables seamless data synchronization between MongoDB and Doris for effective data management.
Google upgrades Colab with an AI agent tool | TechCrunchGoogle Colab introduces Data Science Agent for data cleaning and insights, leveraging AI to aid users directly within notebooks.
How to Make a Decision Tree in Excel for Project PlanningData-driven decisions are prevalent, with over 25% relying solely on data for strategy.Decision trees simplify complex choices by illustrating outcomes step by step.
Google upgrades Colab with an AI agent tool | TechCrunchGoogle Colab introduces Data Science Agent for data cleaning and insights, leveraging AI to aid users directly within notebooks.
How to Make a Decision Tree in Excel for Project PlanningData-driven decisions are prevalent, with over 25% relying solely on data for strategy.Decision trees simplify complex choices by illustrating outcomes step by step.
Layoffs Gut Federal Education Research AgencyFederal data collection on education is critically compromised due to significant staff cuts, impacting accountability and understanding of long-term effects from the pandemic.
Three-decades-old risk assessment used decide prison releaseThe risk assessment formula in Spain leads to biased decisions based on outdated data, particularly penalizing foreign prisoners.
Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data StrategiesHadoop enables distributed storage and processing of large data, making it essential for Big Data management.
Anatomy of a Parquet FileParquet is a standard format in Big Data for efficient data storage, providing advantages like fast query execution and reduced storage volume.
Mastering Hadoop, Part 2: Getting Hands-On Setting Up and Scaling HadoopHadoop's architecture enables scalable and efficient data processing through its core components like HDFS, MapReduce, and YARN.
Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data StrategiesHadoop enables distributed storage and processing of large data, making it essential for Big Data management.
Anatomy of a Parquet FileParquet is a standard format in Big Data for efficient data storage, providing advantages like fast query execution and reduced storage volume.
Mastering Hadoop, Part 2: Getting Hands-On Setting Up and Scaling HadoopHadoop's architecture enables scalable and efficient data processing through its core components like HDFS, MapReduce, and YARN.
Mathematician on creativity and optimizationTaking risks in research is essential for breakthroughs, as optimization can limit growth opportunities.
A Mathematical Fever Dream' Hits the RoadIngrid Daubechies combines her expertise in math with culinary creativity by making pi-shaped cookies, highlighting her artistic math initiative, Mathemalchemy.
Mathematician on creativity and optimizationTaking risks in research is essential for breakthroughs, as optimization can limit growth opportunities.
A Mathematical Fever Dream' Hits the RoadIngrid Daubechies combines her expertise in math with culinary creativity by making pi-shaped cookies, highlighting her artistic math initiative, Mathemalchemy.
The impact of instant data on workplace efficiency and decision-makingReal-time workplace analytics enhances decision-making by providing immediate data insights for performance monitoring, space optimization, and resource allocation.
Training on Qwen-7B gives: ValueError: Asking to pad but the tokenizer does not have a padding tokenBigManGPT trains on the Squad dataset using Qwen-7B, focusing on memory-efficient quantization techniques.
U.S. can improve data collection on AI/AN college studentsNative American student enrollment has dropped significantly, but federal data practices severely undercount their actual numbers.
High temporal variability not trend dominates Mediterranean precipitation - NatureThe Mediterranean region faces serious water resource issues due to fluctuations in precipitation and potential climate change impacts.
Data Transformation and Discretization: A Comprehensive Guide | HackerNoonData transformation and discretization are essential for improving data quality and mining efficiency.
Access FiveThirtyEight resources while they're still aroundDisney laid off FiveThirtyEight staff, leading to the site ceasing operations and its archives becoming inaccessible.
Python vs. Spark: When Does It Make Sense to Scale Up? | HackerNoonMigrating from Python to Spark becomes necessary when datasets exceed memory limits, as larger data requires better scalability and processing capabilities.
100 Days of Data Engineering on Databricks Day 44: PySpark vs. Scala:The choice between PySpark and Scala significantly affects performance and maintainability in Spark development.
Python vs. Spark: When Does It Make Sense to Scale Up? | HackerNoonMigrating from Python to Spark becomes necessary when datasets exceed memory limits, as larger data requires better scalability and processing capabilities.
100 Days of Data Engineering on Databricks Day 44: PySpark vs. Scala:The choice between PySpark and Scala significantly affects performance and maintainability in Spark development.
Linear Regression in Time Series: Sources of Spurious RegressionAI will automate much of our work due to enhanced accessibility of research materials, impacting modeling and analysis.
Webinar: Agentic AI & the Evolution of Data Science & BI Roles!Agentic AI is reshaping data science, elevating roles in strategy & innovation.Join our expert-led webinar to explore this transformation.Secure your spot today!
How machine learning can be used to identify microplasticsA new tool improves the identification of airborne microplastics using chemical fingerprints, aiming to enhance understanding of their types.
Scientists discover same hungry genes' make humans and labradors fatObesity in Labradors is linked to the same gene as in humans, revealing insights into the biology of overeating.
Scientists discover 'fat gene' that hardwires you for obesityA newly discovered fat gene, DENND1B, may affect weight gain resistance and is linked to obesity in both humans and Labrador retrievers.
Dog hungry? That's because you and your Labrador may share the same obesity gene - London Business News | Londonlovesbusiness.comDogs and humans share obesity-related genes, particularly DENND1B, affecting both species' weight.Strict diet and exercise can mitigate the impact of these genes on obesity.
Scientists discover same hungry genes' make humans and labradors fatObesity in Labradors is linked to the same gene as in humans, revealing insights into the biology of overeating.
Scientists discover 'fat gene' that hardwires you for obesityA newly discovered fat gene, DENND1B, may affect weight gain resistance and is linked to obesity in both humans and Labrador retrievers.
Dog hungry? That's because you and your Labrador may share the same obesity gene - London Business News | Londonlovesbusiness.comDogs and humans share obesity-related genes, particularly DENND1B, affecting both species' weight.Strict diet and exercise can mitigate the impact of these genes on obesity.
Turbocharging AI Sentiment Analysis: How We Hit 50K RPS with GPU Micro-services | HackerNoonTransforming from a monolithic to a microservices architecture significantly improved our sentiment analysis system's scalability and efficiency.
Scientists identify genes that make humans and Labradors more likely to become obeseResearchers found genes linked to obesity in Labrador retrievers are also implicated in human obesity, highlighting the genetic basis for appetite regulation.
Frozen government money pipeThe Daily Treasury Statement provides detailed insights into the U.S. Treasury's daily financial operations.
NVIDIA and Arc Institute Unveil Evo 2, a Groundbreaking Foundation Model for Biomolecular SciencesEvo 2 is a groundbreaking AI model set to enhance biomolecular research through genomic data analysis.
How a dog's nose became a powerful tool for science and conservationConservation detection dogs have a significant role in aiding biologists by locating elusive species and biological samples.
Google deploys Data Science Agent to Colab usersGoogle Colab now features an AI-powered Data Science Agent to automate repetitive tasks, enhancing productivity for researchers and data scientists.
Building Data-Driven Teams: Focusing On Soft Skills - Above the LawData roles in law firms must prioritize soft skills alongside technical qualifications for optimal team performance.
Mastering 1:1s as a Data Scientist: From Status Updates to Career GrowthRegular 1:1 meetings enhance communication and relationship between managers and individual contributors.