What we're about

Join a community of developers and startup professionals at the Microsoft Reactor in New York—the place to connect with people, skills, and the latest technology—and build your career. Discover learning, networking, and leadership opportunities designed to focus on real-world challenges, so you can stay up to date and drive your own solutions.
Take advantage of free, in-person presentations, workshops, and networking events to engage with industry experts and a diverse group of professionals who share your interests. Share your knowledge and expand your impact locally and within your organization as you grow your expertise—all in the company of technology enthusiasts like you

Upcoming events (5)

Azure AI Overview

Eleven Times Square Microsoft Conference Center

This session provides an overview of Microsoft Azure AI and demonstrates Microsoft tools, services and infrastructure that can help make AI real for your organization. If you are looking to build AI apps and agents, unlock latent data with knowledge mining or develop your own AI models with Machine Learning, this session will give you an idea of what Microsoft has in store for you. --------------------------------------------------------------------------------------------------- PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://aka.ms/ReactorNY-AzureAI <<<<

Deep Neural Network Foundation Session #2

Eleven Times Square Microsoft Conference Center

Attendees will be introduced to the main concepts and techniques used in modern artificial neural networks. The workshop is divided in 3 self-contained modules covering common use cases and tools: 1. Image processing 2. Natural language processing 3. Microsoft Azure Machine Learning tools and services The modules can be taken in any order. -------------------------------------------------------------------------------------------------- PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://aka.ms/ReactorNY-DNNF2 <<<< Agenda: 8.00 Representing Text: Tokenization and Embedding 9.00 Recurrent Networks for Sequence Processing 10.00 Break 10.15 Lab: Sentiment Analysis with RNNs 11.15 Sequence to Sequence with Attention 12.00 Lunch 13.00 Lab: Machine Translation 14.00 Lab: Q&A Chatbots 15 Break[masked]D Convolution for Sequence Processing 16.00 Lab: 1D-CNN for Sentiment Analysis

Introduction to Python for Data Science

Eleven Times Square Microsoft Conference Center

Data Science is quickly becoming a popular and necessary field for all industries, and Python has risen to become a preeminent language for data science. Beyond its ubiquity in data science alone, Python has a host of intuitive, easy-to-learn tools for handling, manipulating, and visualizing data, in addition to libraries that provide powerful off-the-shelf machine learning (ML) algorithms. --------------------------------------------------------------------------------------------------- PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://aka.ms/ReactorNYC_Python4DataScience <<<< --------------------------------------------------------------------------------------------------- Come join us in exploring the building blocks of data science in a hands-on, interactive workshop! We’ll cover the core concepts – that is, using historical data to predict the future – as well as common data science methodologies and industry use cases. Applied learning topics for the course include Python, NumPy, Pandas, Data cleaning and manipulation, and basics of cloud-based ML. By the end of this course, you’ll be building your own data model in a capstone project with an open data set of your choosing. This course makes extensive use of Jupyter notebooks hosted on Microsoft Azure - no installation of software necessary – so just bring your preferred device with a web browser. Agenda: 10:00 - 10:15am Introduction to Data Science 10:15 - 11:30am - Introduction to Python 11:30 - 11:45am - Break 11:45 - 12:30pm - NumPy: Your Local Data Friend 12:30 - 1:30pm - Lunch 1:30 - 2:30pm - Pandas are more than bears: How to import, clean, and store data 2:30 - 2:45pm - Break 2:45 - 3:30pm - Data Science 1:1 Getting your Data Ready 3:30 - 4:00pm - Capstone Introduction Speaker Bio: Christopher Harrison Christopher is a Program Manager in Academic Ecosystems focused on aiding learners to build solutions on Azure. He's a longtime web and AI developer, with a passion for Python and an obsession for TypeScript. When not in front of a computer he can be found spending time with his wife and four legged child, or running many miles.

Beginners Data Science for Python Developers

Eleven Times Square Microsoft Conference Center

In this workshop, you will get a glimpse into how we can teach machines to analyze complex scenarios at a much larger scale than we're able to. After you've cleaned and organized your data, you will have an opportunity to train and test machine learning models, and even publish your predictor online for others to explore. --------------------------------------------------------------------------------------------------- PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://aka.ms/ReactorNYC_BeginnerDS <<<< --------------------------------------------------------------------------------------------------- Every day new data is created. New parts are made and shipped from factories, people continuously tweet, and companies grow and fluctuate causing major changes in the market. With the addition of more data comes the difficulty of being able to process that data. As humans, we can understand complex scenarios, but computers are much better at being able to analyze large datasets. You do not need any prior experience with data science to attend this workshop. You are likely someone who has ~1 year experience coding, preferrably in Python, but not a requirement. You are interested in learning how to use Python libraries to call machine learning models and make predictions on your data. You should: -Bring your own laptop (Windows or Mac) with an Internet browser. - Coded in Python You will be using Azure Notebooks, a cloud-based Jupyter Notebooks instance, and Azure Machine Learning Studio. All you will need is a Microsoft Account, which only requires an email address and for which you can sign up for at the event. Agenda: 10:00am-12:00pm - Introduction to Machine Learning Models and Linear Regression 12:00pm-1:00pm - Lunch 1:00pm-2:00pm - Using the Cloud for Machine Learning with Azure ML Studio 2:00pm-2:15pm - Break 2:15pm-3:45pm - Machine Learning Capstone Project 3:45pm - 4:00pm - Wrap Up Speaker Bio: Christopher Harrison Christopher is a Program Manager in Academic Ecosystems focused on aiding learners to build solutions on Azure. He's a longtime web and AI developer, with a passion for Python and an obsession for TypeScript. When not in front of a computer he can be found spending time with his wife and four legged child, or running many miles.

Past events (3)

Automated and Interpretable ML

Eleven Times Square Microsoft Conference Center

Photos (6)