Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & MoreODSC East 2025 provides essential skills for AI practitioners to thrive in a rapidly evolving technological landscape.
LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM ModelAttendees at ODSC East 2025 can connect with AI innovators, learn crucial skills about AI technologies, and explore new tools at a free expo.
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.
Towards Data ScienceTDS is seeking original content on data science and AI from writers.The platform has transitioned from Medium to a self-hosted domain for increased visibility.Authors receive editorial support and feedback for their submissions.
How to Use AI to Train Your Own Models (Use Cases & Tools)Training AI models is about using data to help them learn and recognize patterns, making it simpler than it appears.
Announcing the First Keynotes for ODSC East 2025Prominent Keynote Speakers for ODSC East 2025 will discuss innovations in AI and data science.
Introducing the Topic Tracks for ODSC East 2025: Spotlight on Gen AI, AI Agents, LLMs, & MoreODSC East 2025 provides essential skills for AI practitioners to thrive in a rapidly evolving technological landscape.
LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM ModelAttendees at ODSC East 2025 can connect with AI innovators, learn crucial skills about AI technologies, and explore new tools at a free expo.
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.
Towards Data ScienceTDS is seeking original content on data science and AI from writers.The platform has transitioned from Medium to a self-hosted domain for increased visibility.Authors receive editorial support and feedback for their submissions.
How to Use AI to Train Your Own Models (Use Cases & Tools)Training AI models is about using data to help them learn and recognize patterns, making it simpler than it appears.
Announcing the First Keynotes for ODSC East 2025Prominent Keynote Speakers for ODSC East 2025 will discuss innovations in AI and data science.
The Future of AI and Analytics: Insights from Gary Arora and Dr. Aleksandar TomicAI is becoming a fundamental skill like writing or mathematics, necessitating integration into educational curriculums.
Top tech jobs to apply for in Europe in 2025The demand for tech roles in Europe continues to evolve, presenting new opportunities in applications development and AI specialties.
Nvidia reveals Project Digits to power personal AI supercomputers at CES 2025 | TechCrunchNvidia has introduced Project Digits, allowing students and researchers access to advanced processing power via compact consumer devices.
No limits: Data-driven insights for your future success, nowAI is crucial for efficiently turning vast amounts of enterprise data into actionable insights.Workforce empowerment through advanced AI tools is key to competitive advantage by 2025.
Ambidextrous analytics: Ad hoc or advanced, ThoughtSpot Analyst StudioThoughtSpot's Analyst Studio enhances user access to data analytics, bridging gaps between business and engineering teams through its versatile platform.
Neuralk-AI is developing AI models specifically designed for structured data | TechCrunchNeuralk-AI focuses on advancing AI models specifically for structured tabular data, addressing limitations of general AI models.The startup has secured $4 million funding to develop its API for data scientists in commerce.
The Future of AI and Analytics: Insights from Gary Arora and Dr. Aleksandar TomicAI is becoming a fundamental skill like writing or mathematics, necessitating integration into educational curriculums.
Top tech jobs to apply for in Europe in 2025The demand for tech roles in Europe continues to evolve, presenting new opportunities in applications development and AI specialties.
Nvidia reveals Project Digits to power personal AI supercomputers at CES 2025 | TechCrunchNvidia has introduced Project Digits, allowing students and researchers access to advanced processing power via compact consumer devices.
No limits: Data-driven insights for your future success, nowAI is crucial for efficiently turning vast amounts of enterprise data into actionable insights.Workforce empowerment through advanced AI tools is key to competitive advantage by 2025.
Ambidextrous analytics: Ad hoc or advanced, ThoughtSpot Analyst StudioThoughtSpot's Analyst Studio enhances user access to data analytics, bridging gaps between business and engineering teams through its versatile platform.
Neuralk-AI is developing AI models specifically designed for structured data | TechCrunchNeuralk-AI focuses on advancing AI models specifically for structured tabular data, addressing limitations of general AI models.The startup has secured $4 million funding to develop its API for data scientists in commerce.
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.
Can Generative AI Uncover the 'Language of Biology'?Generative AI has the potential to revolutionize our understanding of human cells by analyzing complex biological data for predictive insights.
Key Generative AI Sessions That You Can't-Miss at ODSC East 2025ODSC East 2025 emphasizes innovation and responsible practices in AI, offering valuable insights and networking opportunities for data scientists and AI professionals.
Announcing the First Speakers & Updates for the ODSC East 2025 Gen AiX SummitThe GenAi X Summit is focused on practical applications of Generative AI and best practices for its adoption.
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.
Can Generative AI Uncover the 'Language of Biology'?Generative AI has the potential to revolutionize our understanding of human cells by analyzing complex biological data for predictive insights.
Key Generative AI Sessions That You Can't-Miss at ODSC East 2025ODSC East 2025 emphasizes innovation and responsible practices in AI, offering valuable insights and networking opportunities for data scientists and AI professionals.
Announcing the First Speakers & Updates for the ODSC East 2025 Gen AiX SummitThe GenAi X Summit is focused on practical applications of Generative AI and best practices for its adoption.
The AlleyWatch Startup Daily Funding Report: 3/25/2025Rain secured $24.5M in venture funding, strengthening its position in the fintech market.Flagship raises $5M for data science solutions, contributing to growth in retail technology.
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.
Key Insights From AI Adoption Survey Highlight a Paradigm Shift in AI UsageAI has transitioned from an enhancement to an essential component in modern professional workflows.
What Can You Do With Python? - Real PythonPython offers diverse applications across fields including software development, data science, automation, and robotics.
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.
Key Insights From AI Adoption Survey Highlight a Paradigm Shift in AI UsageAI has transitioned from an enhancement to an essential component in modern professional workflows.
What Can You Do With Python? - Real PythonPython offers diverse applications across fields including software development, data science, automation, and robotics.
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.
Six Organizational Models for Data ScienceOrganizational models significantly influence data science teams' work, culture, and overall impact within a company.
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.
Six Organizational Models for Data ScienceOrganizational models significantly influence data science teams' work, culture, and overall impact within a company.
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.
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.
Efficient Data Handling in Python with Arrow | Towards Data ScienceApache Arrow significantly improves data handling in analytics by optimizing performance through its columnar in-memory format.
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.
Efficient Data Handling in Python with Arrow | Towards Data ScienceApache Arrow significantly improves data handling in analytics by optimizing performance through its columnar in-memory format.
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.
Experiments Illustrated: How Random Assignment Saved Us $1M in Marketing SpendRunning experiments in data science helps avoid hasty decisions and validates assumptions through testing.
Experiments Illustrated: How We Optimized Premium Listings on Our Nursing Job BoardThe success of experiments relies on balancing user experience with the quality and quantity of job listings.
Experiments Illustrated: How Random Assignment Saved Us $1M in Marketing SpendRunning experiments in data science helps avoid hasty decisions and validates assumptions through testing.
Experiments Illustrated: How We Optimized Premium Listings on Our Nursing Job BoardThe success of experiments relies on balancing user experience with the quality and quantity of job listings.
AI Researchers Create the Largest Database for Studying Career IdentityThe largest dataset for studying career identity was developed using over 51 million Twitter biographies, revealing insights into professional roles and their evolution.
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.
What is the R programming language, and how is it used in marketing? | MarTechR is a powerful programming language used in marketing for data analysis, visualization, and statistical modeling.
Top 10 Data Visualization Techniques to Make Your Analysis Stand OutEffective data visualization is essential for understanding and communicating complex data.Adopting the right visualization techniques can significantly impact decision-making processes.
Episode #240: Telling Effective Stories With Your Python Visualizations - The Real Python PodcastFocus on familiar plot types to convey your data's story effectively.Use a systematic approach and resources from pandas and Matplotlib for better visualizations.
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.
What is the R programming language, and how is it used in marketing? | MarTechR is a powerful programming language used in marketing for data analysis, visualization, and statistical modeling.
Top 10 Data Visualization Techniques to Make Your Analysis Stand OutEffective data visualization is essential for understanding and communicating complex data.Adopting the right visualization techniques can significantly impact decision-making processes.
Episode #240: Telling Effective Stories With Your Python Visualizations - The Real Python PodcastFocus on familiar plot types to convey your data's story effectively.Use a systematic approach and resources from pandas and Matplotlib for better visualizations.
He quit his government job after 5 months for a higher-paying tech role. Here's how he marketed himself for the switch.Kunal Sonalker transitioned from government to private sector for better opportunities and pay.
Do more with Python's new built-in async programming libraryAsynchronous programming in Python enhances productivity.NumPy facilitates fast array and matrix computations in Python.
Data Scientist: From School to Work, Part IEvery data science project must aim for production-level code delivery.Many junior data scientists struggle with development skills, impacting their project execution.Effective environment management is crucial in data science to avoid operational issues.
Scala vs. PythonScala is a powerful language designed for scalable concurrency and big data processing, while Python excels in simplicity for data science applications.
Scala vs. PythonScala is designed for scalability and integrates with Java, making it ideal for high-performance applications, especially in big data processing.
PyCoder's Weekly | Issue #667Advancements in Python tooling enable smoother transitions for data scientists migrating from R to Python.
Pandas Can't Handle This: How ArcticDB Powers Massive DatasetsWhile Pandas is excellent for smaller data analysis tasks, it struggles with larger datasets requiring alternative solutions like Dask or Spark.
Do more with Python's new built-in async programming libraryAsynchronous programming in Python enhances productivity.NumPy facilitates fast array and matrix computations in Python.
Data Scientist: From School to Work, Part IEvery data science project must aim for production-level code delivery.Many junior data scientists struggle with development skills, impacting their project execution.Effective environment management is crucial in data science to avoid operational issues.
Scala vs. PythonScala is a powerful language designed for scalable concurrency and big data processing, while Python excels in simplicity for data science applications.
Scala vs. PythonScala is designed for scalability and integrates with Java, making it ideal for high-performance applications, especially in big data processing.
PyCoder's Weekly | Issue #667Advancements in Python tooling enable smoother transitions for data scientists migrating from R to Python.
Pandas Can't Handle This: How ArcticDB Powers Massive DatasetsWhile Pandas is excellent for smaller data analysis tasks, it struggles with larger datasets requiring alternative solutions like Dask or Spark.
10 Mistakes Beginning AI Practitioners Make That You Should Avoid | HackerNoonOver 85% of AI startups fail due to a lack of expertise, particularly in foundational knowledge and data cleaning.
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial TranscriptomicsSpatially resolved transcriptomics (SRT) enhances genomics by linking gene expression data to specific tissue locations.
7 Free Courses To Learn Data Science Skills That Pay $100,000+ In 2025Data science careers are growing rapidly and offer flexibility, high earning potential, and numerous opportunities for pivoting between industries.
The Future of Data: How Decision Intelligence is Revolutionizing DataDecision Intelligence integrates AI and behavioral science to improve organizational decision-making.
AI at Leap 2025: Huge potential but a threat to the fabric of society?Saudi Arabia emphasizes invisible AI enhancing daily life while addressing ethical implications of AI's societal impact.Investment in AI aims to harness its potential while ensuring it promotes social good.
Why data matters in the real worldAI can significantly enhance the functionality of prosthetics by using data to improve user experience.
The Future of Data: How Decision Intelligence is Revolutionizing DataDecision Intelligence integrates AI and behavioral science to improve organizational decision-making.
AI at Leap 2025: Huge potential but a threat to the fabric of society?Saudi Arabia emphasizes invisible AI enhancing daily life while addressing ethical implications of AI's societal impact.Investment in AI aims to harness its potential while ensuring it promotes social good.
Why data matters in the real worldAI can significantly enhance the functionality of prosthetics by using data to improve user experience.
Mastering DuckDB when you're used to pandas or PolarsSQL can easily implement common dataframe tasks like centering, resampling, and computing rolling statistics.
The HackerNoon Newsletter: Climb the Ranks: 3 Actionable Tips to Become a Top Writer (2/12/2025) | HackerNoonWriting is essential for consolidating technical knowledge and establishing credibility in the tech community.
Google Opens Up Meridian Marketing Mix Model, Helping Marketers Measure Across ChannelsGoogle's open-source marketing mix model, Meridian, addresses cookie decline and measuring frameworks for marketers.
Quarto: Open-source technical publishingQuarto revolutionizes technical publishing by allowing users to transform Jupyter notebooks into various polished formats.
Two years of contributions to conda-forge: work done during our CZI EOSS 5 grantThe conda ecosystem has significantly improved collaborative software distribution for data science by simplifying package management.
Google Opens Up Meridian Marketing Mix Model, Helping Marketers Measure Across ChannelsGoogle's open-source marketing mix model, Meridian, addresses cookie decline and measuring frameworks for marketers.
Quarto: Open-source technical publishingQuarto revolutionizes technical publishing by allowing users to transform Jupyter notebooks into various polished formats.
Two years of contributions to conda-forge: work done during our CZI EOSS 5 grantThe conda ecosystem has significantly improved collaborative software distribution for data science by simplifying package management.
Meet Startups of The Year 2024 Nominee, SVEXA: Unlocking Human Potential with Precision Health & AI | HackerNoonSVEXA leverages data science and physiology to offer hyper-personalized insights for unlocking human potential.
Leaky pipelines: I track the 'pink collar' parallels between nursing and academiaLeary emphasizes the importance of recognizing the complexity of healthcare roles, especially nursing, over treating them like typical service industries.
Meet Startups of The Year 2024 Nominee, SVEXA: Unlocking Human Potential with Precision Health & AI | HackerNoonSVEXA leverages data science and physiology to offer hyper-personalized insights for unlocking human potential.
Leaky pipelines: I track the 'pink collar' parallels between nursing and academiaLeary emphasizes the importance of recognizing the complexity of healthcare roles, especially nursing, over treating them like typical service industries.
A shout-out for AI studies that don't make the headlinesAI advancements in 2025 highlight that significant financial investments like the Stargate Project may not be essential due to emerging cost-effective technologies.
The HackerNoon Newsletter: Most Concerns About Bitcoin Are Deeply Human (1/27/2025) | HackerNoonTech discussions today focus on innovative data generation methods, the broader vision of Bitcoin, and ethical considerations in surveillance capitalism.
Even some of the best AI can't beat this new benchmark | TechCrunchA new benchmark named Humanity's Last Exam reveals the limitations of current AI systems in academics across multiple disciplines.
Data Cleaning in Data Science | The PyCharm BlogReal-world data cleaning is vital for obtaining accurate insights and generalizing findings to a larger population.
The TechBeat: The Crypto Industry is Overlooking a Critical Factor in Ensuring Its Success (1/8/2025) | HackerNoonInnovative strategies are essential to drive cryptocurrency adoption beyond technology development and traditional marketing.Decentralization in finance can be achieved without complex solutions, as exemplified by the Runes Exchange Environment.