Soon is our ODSC East - Open Data Science Conference taking place in Boston in April. You can visit odsc.com/boston where we are constantly updating our line-up and schedule for the upcoming speakers, talks, training sessions, workshops, etc. We are expecting about 6500 attendees, 280 speakers and a lot of exciting events. We would like to invite you to our webinar warm-up, during which you may find more on the two sessions that will be presented at the conference.
Date: February 19
Time: 20 pm - 21 pm EET
To access this webinar, please register here:
You are welcome to avail a limited time offer of additional 10% off on conference passes for ODSC East with promo code WEBINAR2020 or simply by registering via this link: https://www.eventbrite.com/e/odsc-east-2020-open-data-science-conference-tickets-71527277011?discount=Webinar2020
1 - DATA SCIENCE AND MACHINE LEARNING IN THE CLOUD FOR CLOUD NOVICES
Speaker: Joy Payton, Supervisor, Data Education, Children's Hospital of Philadelphia
In this hands-on training at the conference, we will use free-tier resources in the Google Cloud Platform (GCP) to introduce learners to the practical use of cloud computing resources in data science and machine learning. This training will be useful for those considering cloud adoption, interested in data engineering, or interested in working with public data as citizen scientists. Topics covered will include: Cloud computing concepts and vocabulary; Cloud providers; Free tier and cost considerations; Public datasets and citizen science; Redundancy, security, and privacy; Continuum of management levels; Cloud data storage and analytics; Machine learning in the cloud.
2 - HOW TO SOLVE REAL-WORLD COMPUTER VISION PROBLEMS USING OPEN-SOURCE
Speaker: Patrick Buehler, PhD, Principal Data Scientist, Microsoft
At the conference, the workshop will begin with an overview of common real-world tasks in the CV domain, including examples of problems our customers have faced in recent years. We will then give a brief introduction to deep learning models for CV. The main part of this session will demonstrate how to train and evaluate CV models by executing notebooks based on PyTorch’s Fast.ai and Torchvision libraries. We will start with image classification, how to fine-tune a pre-trained ImageNet model on a custom dataset, and show how to deploy the model to the cloud. Next, we will train an object detection model and extend the model to segmentation masks and keypoints. Finally, we will build an image similarity system and demo a fast image retrieval solution that can handle large amounts of images.
3 - KEDRO + MLFLOW – REPRODUCIBLE AND VERSIONED DATA PIPELINES AT SCALE
Speaker: Tom Goldenberg, Junior Principal Data Engineer, QuantumBlack
The aim of this tutorial, that we will host at ODSC Boston, is to demonstrate how Kedro (development workflow tool open sourced by QuantumBlack, a McKinsey company) and MLflow fit together in a scalable AI architecture. To start, we will give an overview of Kedro and an overview of MLflow: what they are used for, what functionality they provide, how they compare as tools. Next, we will walk through a demo of a Kedro project that has MLflow integrated into it. Finally, we will go over deployment options. At the webinar you will learn more about this tutorial. There will be time allocated at the end for Q&A.
Организатор: ODSC Lviv Data Science
ODSC brings together the open-source and data science communities with the goal of helping its members learn, connect and grow.
The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:
1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.
2. Promote the use of open source languages and tools amongst data scientists and others.
3. Host educational workshops.
4. Spread awareness of new open source languages and tools that can be used in data science.
5. Contribute back to the open-source community.
Who is this meetup for?
• Data engineers, analysts, scientists, and other practitioners
• R, Python and other software engineers who work with data or want to learn
• Data visualization developers and designers
• Non-technical team leads, executives, and other decision-makers from data-centric startups and large companies looking to utilize open-source tools
Get Involved with our Meetups:
• Speaker Form (https://docs.google.com/a/odsc.com/forms/d/1trkCoecAMa8za_ZzfN5bW6ZNBaRlmqJSQvuME_2nbJA/edit?usp=drive_web) - Submit a talk, tutorial, or panel.
• Suggest a Meetup Topic Form (https://docs.google.com/forms/d/1rEjO3UMMXRXtY8Yr_J_jj3ebYwsIFqcGA6FZzWK4rd0/edit)
• Volunteer Form (https://docs.google.com/forms/d/1Vu3B72avz2I1xx618pEFGsuywZE9t4n78br9vSEX9oE/edit)
• Host or Sponsor Form (https://docs.google.com/forms/d/1eyM9hJ3l8TlNmw35re65mH7mFCmsPoRZ1p5RJQEVhnk/edit)
• Showcase your Startup Form (https://docs.google.com/forms/d/1oz8A4fbfe6HHs71v4nMpcf9FP_kpS9CcCfd3qIBS5HU/edit)
Get free access to more talks like this at LearnAI
· LearnAI: https://learnai.odsc.com/
· Facebook: https://www.facebook.com/OPENDATASCI/
· Slack Channel: odscglobal.slack.com