Data Science Day 2024 , 14th March 2024 - Schedule Announcement
We are thrilled to announce Python Data Science Day will be taking placeMarch 14th, 2024 with talks all day; a "PyDay" on Pi Day: 3.14. If you're a Python developer, entrepreneur, data scientist, student, or researcher working on projects from hobbyist and start up to enterprise level, you'll find solutions to modernize your data pipelines and answer complex queries with data.Microsoft Student Summit March 2023 - Start and Accelerate Your Career in Tech
Student Summit - Start and Accelerate Your Career in Tech In partnership with Microsoft Reactor this exciting 90-minute event will help build your confidence and motivation to skill on the Microsoft Cloud, and coach you on the next steps to continue your learning on topics including - Application Development and Developer Tools, Low Code/ No-Code / Fusion Development, and AI, Data and Machine Learning.Create Machine Learning Models with R and Tidymodels - new learning path on MS Learn
Looking to embark on a new adventure in data science using the R language? Wishing to learn the foundations of machine learning while R-ing your way through? If you answered yes to one of these questions, we have great news for you.Devito Book Summer Project with Imperial College London
If you are interested in numerical computation, programming in Python, and/or applied mathematics, and would like to contribute to our open-source textbook, feel free to reach out to us on Slack and check out the devito_book repository on GitHub.A Statistical Solution to Synthetic Data Generation for Patient Files
The project I created for the FHIR hackathon is a mathematically driven library which generates a DataFrame of patient files given input data, which preserves statistical properties of the original data. The type of statistics employed is an important demonstrator of a method of generating synthetic data given a small initial dataset to base it on, and is a technique that will generally surpass widely used (but data-intensive) deep learning techniques on these types of smaller datasets.Jupyter Notebook Workflow - DevOps for Data Science
DevOps is popular technology best practice and it is often used incombination with Python. The center of the universe for DevOps is the build server. The build server enables automation. This automation includes linting, testing, reporting, building and deploying code. This process is called continuous delivery.Microsoft brings Azure cloud to students for Machine Learning experiences and skilling
These hands on labs sessions, help the students build machine learning models faster than they think might be possible, working on Open Source technologies, Microsoft Azure and Microsoft software development platform to enable cloud services.Bringing R Workloads to Azure Machine Learning Service
The two of the most popular platforms for data science workloads are – R and Python. Both platforms have a large ecosystem of libraries and support which enable developers and innovators to build solutions quickly and efficiently. Looking more closely however, it is quite evident that around the academic and research, R draws at least as many supporters as Python.https://twitter.com/jplaneUsing Microsoft Azure Data Science Virtual Machines in your teaching and Research Labs
First published on MSDN on Jan 11, 2018 Running Data Science VM on Azure for your data science and deep learning lab resourcesCreate the lab infrastructure as followsUse a shared pool of Ubuntu Data Science VMs (with GPUs if doing deep learning) with each student getting a separate account.
