InfoQ Homepage Data Science Content on InfoQ
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Kaggle Publishes 2020 State of Machine Learning and Data Science Report
Kaggle has published a report on the State of Machine Learning and Data Science for 2020. The report is based on survey responses from over two thousand users currently employed as data scientists. The report notes that the "vast majority" of data scientists are under 35 years of age, two-thirds have a graduate degree, and most have less than 10 years coding experience.
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Using Agile with a Data Science Team
Agile helped a data science team to better collaborate with their stakeholders and increase their productivity. As priorities became clear, the team was able to focus and deliver. Buy-in of the data science team by taking them through a journey of agile was crucial to making it work.
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NVIDIA Releases a $59 Jetson Nano 2GB Kit to Make AI More Accessible to Developers
With the Jetson series of devices and software SDKs, NVIDIA creates a coherent development environment to learn and develop GPU-based AI applications.
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Is Julia Production Ready? Q&A with Bogumił Kamiński
On the heels of JuliaCon 2020, SGH Warsaw School of Economics professor and DataFrames.jl maintainer Bogumił Kamiński summarized the status of the language and its ecosystem and stated that Julia is finally production-ready. InfoQ has taken the chance to speak with professor Kamiński.
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COVID-19 and AI: Virtual Conference at Stanford Discusses the Future
The Stanford Institute For Human-Centered Artificial Intelligence approaches COVID-19 from a wide variety of perspectives.
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AlphaFold Algorithm Predicts COVID-19 Protein Structures
DeepMind uses AlphaFold to predict 3D protein structures straight from amino acid sequences for novel coronavirus 2019 (NCOVID-2019).
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Data Science Community Reacts to COVID-19 Pandemic
The data science community has reacted with fervor to the COVID-19 pandemic, with numerous articles from a data-oriented perspective and both official and grassroot efforts to provide access to data and utilize ML techniques to help deal with the crises across industry, academia and governmental organizations worldwide.
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.NET Interactive: Jupyter Notebooks with .NET Core - Preview 2
.NET Interactive is the new name for Try .Net. This suite of APIs and command-line tools allows you to create interactive notebooks and documents combining rich text, code and data. One of the main use cases for .NET Interactive is embedding code into a Jupyter Notebook.
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Oracle Cloud Now Offers Data Science and Machine Learning Services
Oracle recently announced the availability of its Cloud Data Science Platform, a native service on Oracle Cloud Infrastructure (OCI), which the software designed to let teams of data scientists collaborate on the development, deployment and maintenance of machine learning models.
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Michael Berthold on End-to-End Data Science Using KNIME Software
Open source data analytics platform KNIME CEO and co-founder Michael Berthold gave the keynote presentation at this year's KNIME Fall Summit 2019 Conference. He spoke about the end-to-end data science cycle. The data science process lifecycle mainly involves create and productionize categories.
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Data Science at the Intersection of Emerging Technologies
Kirk Borne, principal data scientist at Booz Allen Hamilton, gave a keynote presentation at this year’s Oracle Code One Conference on how the connection between emerging technologies, data, and machine learning are transforming data into value. Emerging technological innovations like AI, robotics, computer vision and more, are enabled by data and create value from data.
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Microsoft Announces .NET Support for Jupyter Notebooks
Earlier this month, Microsoft announced the public preview of .NET Core support to Jupyter Notebooks, allowing the use of code written in C# and F#. This release is part of the Try .NET project, an interactive documentation generator for .NET Core.
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Alternatives to RViz for Visualising Robotics Data Presented: Summary from ROSCon 2019
During ROSCon 2019 two interesting tools for visualising and interacting with ROS were demonstrated. The first tool which was demonstrated is Webviz, an online web-based replacement for RViz. Another interesting option which gives you more options for interaction is using Jupyter notebooks to visualise and interact with your robot.
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Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
Recently Microsoft announced the general availability of Jupyter notebooks support for Cosmos DB, providing integrated support for running queries directly against all data models. As these notebooks run directly inside Cosmos DB; this allows for analyzing and visualizing the data directly from the Azure portal, without the need to extract the data.
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The First AI to Beat Pros in 6-Player Poker, Developed by Facebook and Carnegie Mellon
Facebook AI Research’s Noam Brown and Carnegie Mellon’s professor Tuomas Sandholm recently announced Pluribus, the first Artificial Intelligence program able to beat humans in 6 player hold-em poker. In the past years, computers have progressively improved, beating humans in checkers, chess, Go, and the Jeopardy TV show. Poker poses more challenges around information asymmetry and bluffing.