What we're about

Join a community of developers and startup professionals at the Microsoft Reactor in Tel Aviv — 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 organisation as you grow your expertise—all in the company of technology enthusiasts like you.

Upcoming events (4)

Getting Started with Data Science

Microsoft Reactor Tel Aviv

Join us for our regular meetup events at Microsoft Reactor Tel Aviv! Each week our Cloud Advocates and technical friends both from Microsoft and the developer community will be running talks, workshops and mini-hacks on a variety of topics. _______________________________________________________________________________ PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x7620578abcd <<< _______________________________________________________________________________ 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. 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. The session will include an interactive presentation and hands-on learning, followed by an open discussion with the opportunity to ask questions.

Balancing the Scales - Dealing with Imbalanced Data in Machine Learning

What is this session about? Many real-world problems require you to deal with imbalanced data. Some domains, such as Cyber Security, Fraud Detection and Medical Diagnosis are especially prone to highly skewed real-world data distribution. If not addressed properly, this can lead to sub-optimal models or even ‘naïve’ models that ignore the minority class altogether. _______________________________________________________________________________ PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x7998298abcd <<< _______________________________________________________________________________ Who is it aimed at? The content is designed for experienced developers and Data Scientists Why should you attend? In this talk, we will discuss the various approaches available for handling imbalanced data in every phase of the machine learning pipeline (from data extraction, through prepossessing and training to model evaluation) and explore important aspects to keep in mind when implementing them. If time permits, we will also explore some code examples using the [Imbalanced Learn] (https://github.com/scikit-learn-contrib/imbalanced-learn) Python library." The session is held by Yotam Perkal, Data Scientist & Security Researcher from PayPal

Security at Scale

Microsoft Reactor Tel Aviv

What is this session about? Come join us to learn how Microsoft leverages User Entity Behavior Analytics to detect advanced persistent threats (APT) – focusing on insider threats, compromised users and data exfiltration. _______________________________________________________________________________ PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x7953078abcd <<< _______________________________________________________________________________ Who is it aimed at? The content is designed for anyone interested in cyber-security, data science, and software engineering; whether you're an experienced developer or a beginner. Why should you attend? Learn how you can defend yourself against an unknown threat! In-memory, zero-day exploits and low-level vulnerabilities are now standard in the new generation of cyber-attacks. Insider threats are a bigger risk to cyber-security than external hackers, with 74% of cyber incidents happening from within companies. In this session, we will discuss why peer analysis is relevant when detecting anomalous network activities, and what are the methods to discover different peer groups. We will also present two patent-pending methods to discover peer groups. Agenda: 18:00-18:30: Networking 18:30-19:15: Finding the needle in a haystack (Leveraging Behaviour Analytics) In this session, we will discuss how we grade suspicious activities and users – from ‘normal’ to ‘OMG I’m breached!’ We will explain how we use different approaches to help security analysts focus on real threats. 19:15-20:00: Peer analysis in the service of anomaly detection In this session, we will discuss why peer analysis is relevant when detecting anomalous network activities, and what are the methods to discover different peer groups.

Bringing Color to Tel Aviv’s Past with Azure, Unet, & Tensorflow.js

Microsoft Reactor Tel Aviv

PLEASE NOTE: RSVPing TO THIS PAGE WILL NOT REGISTER YOU FOR THIS EVENT. >>> REGISTER HERE: TBD<<< _______________________________________________________________________________ Join us for our regular meetup events at Microsoft Reactor Tel Aviv! Each week our Cloud Advocates and technical friends both from Microsoft and the developer community will be running talks, workshops and mini-hacks on a variety of topics. The G. Eric and Edith Matson Photograph Collection is a rich source of historical images of the Middle East. The majority of the images depicts the land of Israel’s history from 1898 to 1946. Over 1,000 photographic prints and eleven albums are also part of this collection. Until recently hosting image colorization models has been an expensive prospect, however, a lot has changed since the early days of deep learning, and in the past year, tensorflow.js has enabled efficient rendering of deep learning models in the browser. Using tensorflow.js and the Azure Machine Learning service this demo enables historians to explore Tel Aviv’s past in color. The following demo demonstrates how one can train and optimize their neural architectures to run in the browser as statically hosted apps with the Azure Cloud.  Training set compiled with Azure Image Search  Keras UNET Color Model trained with Azure Machine Learning Service  Azure Machine Learning Service Converts Keras Model to Tensorflow.js and saves to Azure blob store  Images pulled to Azure blob store from Library of Congress open domain archive.  Serverless Static Demo App Hosted on Blob Store Model Evaluation Done in browser  Source Code Available on Github

Past events (3)

Adding AI to your Apps

Microsoft Reactor Tel Aviv

Photos (16)