The State of Data Science 2024: 6 Key Data Science Trends | The PyCharm Blog
Python usage in data analysis and machine learning is declining, indicating changing trends in data science.
Announcing the new Python Data Science Extension Pack for VS Code - Python
The new Python Data Science Extension Pack simplifies data science tasks in Visual Studio Code, covering everything from data preparation to machine learning.
Anaconda Toolbox for Excel and more with Peter Wang
Peter Wang discusses the Anaconda Toolbox for Excel and its impact on Python's role in data science.
Introduction to Web Scraping With Python - Real Python
Web scraping is critical for extracting data from the web, aiding various fields like data science and investigative reporting.
Python has overtaken JavaScript on GitHub
Python has surpassed JavaScript on GitHub, indicating a rise in data science and AI.
Developers are increasingly integrating AI into applications, not being replaced by it.
Beginning your career in python programming
Python offers versatility and is in high demand across various fields.
Begin by installing Python and setting up an IDE for development.
Explore advanced topics like OOP, File I/O, and Python's standard library for enhanced programming skills.
Practice coding regularly on platforms like LeetCode and HackerRank to improve proficiency.
The State of Data Science 2024: 6 Key Data Science Trends | The PyCharm Blog
Python usage in data analysis and machine learning is declining, indicating changing trends in data science.
Announcing the new Python Data Science Extension Pack for VS Code - Python
The new Python Data Science Extension Pack simplifies data science tasks in Visual Studio Code, covering everything from data preparation to machine learning.
Anaconda Toolbox for Excel and more with Peter Wang
Peter Wang discusses the Anaconda Toolbox for Excel and its impact on Python's role in data science.
Introduction to Web Scraping With Python - Real Python
Web scraping is critical for extracting data from the web, aiding various fields like data science and investigative reporting.
Python has overtaken JavaScript on GitHub
Python has surpassed JavaScript on GitHub, indicating a rise in data science and AI.
Developers are increasingly integrating AI into applications, not being replaced by it.
Beginning your career in python programming
Python offers versatility and is in high demand across various fields.
Begin by installing Python and setting up an IDE for development.
Explore advanced topics like OOP, File I/O, and Python's standard library for enhanced programming skills.
Practice coding regularly on platforms like LeetCode and HackerRank to improve proficiency.
Go From Excel Novice to Data Science Pro With This Training Pack | Entrepreneur
The Complete Excel, VBA, and Data Science course bundle transforms spreadsheet tasks into advanced data management and analysis, offering comprehensive learning for just $44.97.
Fortune's 2024 ranking of the best in-person master's programs in data science is here. This is how we scored each school.
Data science is rapidly growing and offers lucrative salary opportunities, especially for entry-level positions.
Can AI really compete with human data scientists? OpenAI's new benchmark puts it to the test
OpenAI's MLE-bench evaluates AI in machine learning engineering through Kaggle data science competitions, revealing both advances and limitations in AI technology.
Why AI might be a game-changer for Africa
Adekanmbi transitioned from corporate success in telecommunications to founding Data Science Nigeria, focusing on leveraging AI for societal benefit in Africa.
How data scientist Rebecca Portnoff is pushing AI companies to tackle child abuse head on
Portnoff transitioned from studying computer science to combating child exploitation using technology, recognizing the dual role tech plays in such issues.
AI has a stupid secret: we're still not sure how to test for human levels of intelligence
Scale AI and CAIS have launched a challenge to evaluate large language models with a public question submission initiative.
How close are we to an accurate AI fake news detector?
AI tools are evolving to detect fake news by integrating insights from behavioral and neuroscience.
American College of Radiology Launches AI Quality Registry for Improved Imaging Insights
The ACR introduced a new initiative for better AI adoption and monitoring in radiology.
Can AI really compete with human data scientists? OpenAI's new benchmark puts it to the test
OpenAI's MLE-bench evaluates AI in machine learning engineering through Kaggle data science competitions, revealing both advances and limitations in AI technology.
Why AI might be a game-changer for Africa
Adekanmbi transitioned from corporate success in telecommunications to founding Data Science Nigeria, focusing on leveraging AI for societal benefit in Africa.
How data scientist Rebecca Portnoff is pushing AI companies to tackle child abuse head on
Portnoff transitioned from studying computer science to combating child exploitation using technology, recognizing the dual role tech plays in such issues.
AI has a stupid secret: we're still not sure how to test for human levels of intelligence
Scale AI and CAIS have launched a challenge to evaluate large language models with a public question submission initiative.
How close are we to an accurate AI fake news detector?
AI tools are evolving to detect fake news by integrating insights from behavioral and neuroscience.
American College of Radiology Launches AI Quality Registry for Improved Imaging Insights
The ACR introduced a new initiative for better AI adoption and monitoring in radiology.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is crucial for effective communication and analysis in data science.
PyCharm's Interactive Tables for Data Science | The PyCharm Blog
PyCharm enhances productivity in data preparation through interactive tables for pandas and Polars, allowing efficient exploration and cleaning of large datasets.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is essential for understanding complex datasets and communicating insights effectively.
5 ways data scientists can prepare now for genAI transformation
GenAI is revolutionizing data science by enabling access to unstructured data and fostering data-driven decision-making across organizations.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is essential for effective communication and understanding of complex data.
Proper visualization can significantly influence decision-making and opportunities for businesses.
Machine Learning Visualizations | HackerNoon
Visualization is crucial in data exploration, helping comprehend relationships between features and the distribution of data.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is crucial for effective communication and analysis in data science.
PyCharm's Interactive Tables for Data Science | The PyCharm Blog
PyCharm enhances productivity in data preparation through interactive tables for pandas and Polars, allowing efficient exploration and cleaning of large datasets.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is essential for understanding complex datasets and communicating insights effectively.
5 ways data scientists can prepare now for genAI transformation
GenAI is revolutionizing data science by enabling access to unstructured data and fostering data-driven decision-making across organizations.
Top 10 Data Visualization Techniques to Make Your Analysis Stand Out
Data visualization is essential for effective communication and understanding of complex data.
Proper visualization can significantly influence decision-making and opportunities for businesses.
Machine Learning Visualizations | HackerNoon
Visualization is crucial in data exploration, helping comprehend relationships between features and the distribution of data.
Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners
Effective business communication is vital for data scientists when addressing AI-related inquiries and requests from leadership.
How a stubborn computer scientist accidentally launched the deep learning boom
ImageNet revolutionized AI research by providing a vast labeled dataset that challenged and overcame existing skepticism about the role of data in machine learning.
ODSC West Recap, Slides, and Minisodes Podcast, Open-Source Data Catalogs, and Limitations of LLMs
ODSC West 2024 featured significant discussions on AI advancements, particularly around open-source data catalogs and the limitations of large language models.
A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation
ODSC East 2025 offers a 2-for-1 Black Friday special to foster innovation and collaboration in AI and data science.
How to support accurate revenue forecasting with data science and dataops
Data science and DataOps are vital for accurate and reliable revenue forecasting, which is critical for business success.
Advance Your Career with These Data Science Skills
The 2024 Advanced Data Science Bundle offers extensive training in data science, machine learning, and AI for just $29.99.
Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners
Effective business communication is vital for data scientists when addressing AI-related inquiries and requests from leadership.
How a stubborn computer scientist accidentally launched the deep learning boom
ImageNet revolutionized AI research by providing a vast labeled dataset that challenged and overcame existing skepticism about the role of data in machine learning.
ODSC West Recap, Slides, and Minisodes Podcast, Open-Source Data Catalogs, and Limitations of LLMs
ODSC West 2024 featured significant discussions on AI advancements, particularly around open-source data catalogs and the limitations of large language models.
A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation
ODSC East 2025 offers a 2-for-1 Black Friday special to foster innovation and collaboration in AI and data science.
How to support accurate revenue forecasting with data science and dataops
Data science and DataOps are vital for accurate and reliable revenue forecasting, which is critical for business success.
Advance Your Career with These Data Science Skills
The 2024 Advanced Data Science Bundle offers extensive training in data science, machine learning, and AI for just $29.99.
How K-SIF and SIF Revolutionize Anomaly Detection in Complex Datasets | HackerNoon
K-SIF and SIF improve anomaly detection by integrating non-linear properties and data-driven techniques, enhancing flexibility and effectiveness for complex datasets.
Two Algorithms, One Goal: Changing the Face of Anomaly Detection with KIF and SIF | HackerNoon
The Signature Isolation Forest method effectively detects anomalies in complex datasets using advanced mathematical techniques.
How K-SIF and SIF Revolutionize Anomaly Detection in Complex Datasets | HackerNoon
K-SIF and SIF improve anomaly detection by integrating non-linear properties and data-driven techniques, enhancing flexibility and effectiveness for complex datasets.
Two Algorithms, One Goal: Changing the Face of Anomaly Detection with KIF and SIF | HackerNoon
The Signature Isolation Forest method effectively detects anomalies in complex datasets using advanced mathematical techniques.
Silver Lining or Just a Glimmer? Revisiting Algorithm Bias (Part 2)
Using machine learning to detect and address algorithmic bias offers potential benefits, but challenges in accuracy and reliability complicate the approach.
Predictive Analytics Techniques - DATAVERSITY
Predictive analytics enhances decision-making by using historical data and advanced algorithms to forecast future trends.
Design and Data Science: From a Human-in-the-Loop Approach to Human-Centered Design | HackerNoon
The article emphasizes the need for a human-centered shift in data science and user experience design to enhance tool accessibility and effectiveness.
Who's Attending ODSC West 2024? A Powerhouse of AI Leaders
ODSC West 2024 is a significant gathering showcasing advancements in AI and data science from industry leaders like NVIDIA and Google Cloud.
The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation
Unstructured data represents 80% of daily information, and linguistic analysis provides key insights that traditional methods miss.
Effective Project Management for Data Science: From Scoping to Ethical Deployment
Effective project management is crucial for the successful deployment of data science projects, which often struggle to achieve tangible results.
Silver Lining or Just a Glimmer? Revisiting Algorithm Bias (Part 2)
Using machine learning to detect and address algorithmic bias offers potential benefits, but challenges in accuracy and reliability complicate the approach.
Predictive Analytics Techniques - DATAVERSITY
Predictive analytics enhances decision-making by using historical data and advanced algorithms to forecast future trends.
Design and Data Science: From a Human-in-the-Loop Approach to Human-Centered Design | HackerNoon
The article emphasizes the need for a human-centered shift in data science and user experience design to enhance tool accessibility and effectiveness.
Who's Attending ODSC West 2024? A Powerhouse of AI Leaders
ODSC West 2024 is a significant gathering showcasing advancements in AI and data science from industry leaders like NVIDIA and Google Cloud.
The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation
Unstructured data represents 80% of daily information, and linguistic analysis provides key insights that traditional methods miss.
Effective Project Management for Data Science: From Scoping to Ethical Deployment
Effective project management is crucial for the successful deployment of data science projects, which often struggle to achieve tangible results.
F# 9 simplifies randomization in data science with new sampling and shuffling functions in standard libraries, alongside notable performance improvements.
35 Years of Harnessing the Power of Geospatial Data for Decision Making
CIESIN celebrates 35 years of integrating environmental, social, and economic data to empower better decision making for climate and sustainability issues.
Industry's take on the chief artificial intelligence officer role
The role of the Chief Artificial Intelligence Officer (CAIO) is becoming increasingly vital for organizations focusing on overseeing AI initiatives.
Predicting Links in Graphs with Graph Neural Networks and DGL.ai | HackerNoon
Graphs represent complex relationships and tasks like link prediction are essential for practical applications.
Dataframes explained: The modern in-memory data science format
Dataframes provide efficient and powerful data manipulation in data science, surpassing traditional methods like SQL and Excel.
Top data scientist: Prediction markets think Trump will win, but Harris voters have reasons to remain hopeful
Miller's real-time ticker-tape revolutionizes presidential election forecasting by utilizing betting odds instead of traditional polls.
Election forecasting topic of eCornell keynote address | Cornell Chronicle
Political forecasting combines data collection and interpretation; it's complex but insightful for understanding electoral trends and potential outcomes.
Enns predicted 49 out of 50 states accurately for the 2020 election, showcasing his expertise in political dynamics.
Top data scientist: Prediction markets think Trump will win, but Harris voters have reasons to remain hopeful
Miller's real-time ticker-tape revolutionizes presidential election forecasting by utilizing betting odds instead of traditional polls.
Election forecasting topic of eCornell keynote address | Cornell Chronicle
Political forecasting combines data collection and interpretation; it's complex but insightful for understanding electoral trends and potential outcomes.
Enns predicted 49 out of 50 states accurately for the 2020 election, showcasing his expertise in political dynamics.
How Data Science Helps Fight Synthetic Identity Fraud
Synthetic identity fraud is becoming increasingly common due to technological advancements that make it easier for fraudsters to create fake identities.
Who is wining the election? Top data scientist launches electoral vote counter that shows the race moving in real time
Miller's betting market-based forecasts provide a real-time view of the evolving 2024 presidential election dynamics.
Political forecasting relies on sophisticated models analyzing diverse factors, not just data collection.
Peter Enns' upcoming keynote will provide insights into the 2024 U.S. presidential election.
PyCharm vs. Jupyter Notebook | The PyCharm Blog
Jupyter notebooks are essential tools for data professionals, with considerable usage, but they have limitations compared to more versatile IDEs like PyCharm.