What we're about

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/

· Twitter: https://twitter.com/odsc & @odsc (https://twitter.com/odsc)

· LinkedIn: https://www.linkedin.com/company/open-data-science/

· Slack Channel: http://bit.ly/2RkOf9l

Upcoming events (4+)

Webinar: "Five ways to Increase your Model Performance using PyTorch Profiler"

To access this webinar, please register here:
https://attendee.gotowebinar.com/register/245284968919874319

Topic: Five ways to Increase your Model Performance using PyTorch Profiler

Speaker: Sabrina Smai, Product Manager at Microsoft

She works with all things PyTorch and ONNX Runtime.

Abstract:
We all like speed and want our models to run faster. The faster you can run your models, the further along you can get your models to production. This is where PIP INSTALL TORCH-TB-PROFILER comes in. In this session, we will go over the new PyTorch Profiler release features and how you can start leveraging this performance tool. We’ll be covering features like Distributed Training view, Memory view, GPU Utilization Visualization, and Cloud Storage Support.

Who is it aimed at?
Anyone interested in AI development

Why should you attend?
Learn more about the work Facebook & Microsoft and how it helps users optimize their model performance.

Prerequisites
Please Install torch-tb-profiler

[September] Ger your Free General Pass to ODSC APAC 2021 - https://bit.ly/3eYLK8h

[November]Get your Pass to ODSC West 2021 with an additional discount - https://bit.ly/3fGU0sS or Virtual pass - https://bit.ly/2SXM2E4

ODSC Links:
• Get free access to more talks/trainings like this at AI+ Training platform:
https://app.aiplus.training/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://bit.ly/35pfPZo
• APAC Conference Sept 15th-16th: https://odsc.com/apac/
• West Conference November 15th - 18th: https://odsc.com/california/
• Code of conduct: https://odsc.com/code-of-conduct/

Webinar: "Unsupervised Text Generation and its Application to News Interfaces"

To access this webinar, please register here:
https://attendee.gotowebinar.com/register/5144144732837100560

Topic: Unsupervised Text Generation and its Application to News Interfaces

Speaker: Philippe Laban, Research Scientist at Salesforce Research

Philippe Laban is a Research Scientist at Salesforce Research, where he works on text generation projects, including summarization and interactive question answering. Previously, he obtained his Ph.D. from UC Berkeley, where he was advised by Marti Hearst and John Canny. His work in Berkeley focused on deigning unsupervised methods for text generation and on building and adapting NLP techniques to a very large, noisy and evolving news dataset. He did his undergraduate education at Georgia Tech, doing research in signal processing and discrete mathematics.

Abstract:
Recent progress in automated text generation relies predominantly on the use of large datasets, sometimes requiring millions of examples for each application setting. In the first part of the talk, we'll develop novel text generation methods that balance the goals of fluency, consistency, and relevancy without requiring any training data. We focus on text summarization and simplification by directly defining a multi-component reward, and training text generators to optimize this objective. The novel approaches that we introduce perform better than all existing unsupervised approaches and in many cases outperform those that rely on large datasets, showing that high-performing NLP models are possible when little data is available.

In the second part of the talk, we incorporate text generation into interfaces to help news readers navigate complex, unfolding news topics. We build a novel representation of news stories at scale and integrate new summarization, question generation and question answering modules into a chatbot and an automated interactive podcast. Human evaluations confirm that even though imperfect systems introduce friction for the user, they can serve as powerful tools to stimulate reader curiosity and help readers dive deeper into unfolding topics."

Three main learning points:

(1) How to approach text generation tasks such as summarization and simplification without any data

(2) Concrete examples of text-centric interfaces to navigate complex text collections with modern NLP integrated

(3) How to run human evaluation on complex interfaces to confirm which NLP features add value for a user

[November]Get your Pass to ODSC West 2021 with an additional discount - https://bit.ly/3fGU0sS or Virtual pass - https://bit.ly/2SXM2E4

ODSC Links:
• Get free access to more talks/trainings like this at AI+ Training platform:
https://app.aiplus.training/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://bit.ly/35pfPZo
• APAC Conference Sept 15th-16th: https://odsc.com/apac/
• West Conference November 15th - 18th: https://odsc.com/california/
• Code of conduct: https://odsc.com/code-of-conduct/

LIVE TRAINING: Network Analysis Made Simple

Online event

This is a PAID event.

Registration is required: https://aiplus.training/live/network-analysis-made-simple/

Level INTERMEDIATE

Instructor's bio: Eric J. Ma, Senior Expert II/Investigator III (Data Science & Statistical Learning) | Novartis Institutes for BioMedical Research (NIBR)

Eric is a data scientist at the Novartis Institutes for Biomedical Research. There, he conducts biomedical data science research, with a focus on using Bayesian statistical methods in the service of making medicines for patients. Prior to Novartis, he was an Insight Health Data Fellow in the summer of 2017, and defended his doctoral thesis in the Department of Biological Engineering at MIT in the spring of 2017.
Eric is also an open-source software developer and has led the development of pyjanitor, a clean API for cleaning data in Python, and nxviz, a visualization package for NetworkX. In addition, he gives back to the open-source community through code contributions to multiple projects.

Abstract:

Have you ever wondered about how those data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this tutorial, we will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, and visualizing complex networks.

Course Outline
1. Introduction
2. Hubs and Paths
3. Cliques, Triangles & Structures
4. Bipartite Graphs
5. Linear Algebra and Graphs

Which knowledge and skills you should have?
If you're familiar with the Jupyter notebook/lab interface, are comfortable with Python programming (loops, functions, conditionals), and know how to make plots in matplotlib, you'll be well-prepared for the tutorial!

What is included in your ticket?
1. Access to the live training and a QA session with the Instructor
2. Access to the on-demand recording
3. Certificate of completion

[September] Ger your Free General Pass to ODSC APAC 2021 - https://bit.ly/3eYLK8h
[November] Get your Pass to ODSC West 2021 with an additional discount - https://bit.ly/3fGU0sS or Virtual pass - https://bit.ly/2SXM2E4

ODSC Links:
• Get free access to more talks/trainings like this at AI+ Training platform:
https://aiplus.training/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: http://bit.ly/2RkOf9l
• West Conference November 15th - 18th: https://odsc.com/california/
• Code of conduct: https://odsc.com/code-of-conduct/

ODSC Kickstart Bootcamp 2021 | in-person and virtual

Hyatt Regency San Francisco Airport

This event has paid and free options. Registration is REQUIRED.

Get your Pass to the event with an extra discount by using ODSCCommunity code:
In-person conference pass - https://bit.ly/3fGU0sS
Virtual pass - https://bit.ly/2SXM2E4

Kick your career into high gear with ODSC’s Kickstart Bootcamp. Featuring pre-conference on-demand training, 4 days of conference training, and on-demand access to ODSC West recordings, the Kickstart Bootcamp is an immersive experience that will help you prepare for the next step in your career.

Each Bootcamp Pass includes:
- Pre-conference live on-demand training beginning in August 2021
- An additional day of training sessions on data science fundamentals
- Access to all ODSC training sessions, workshops, and talks
- On-demand access to all recordings post conference
- The AI Expo (Virtual or In-person)
- A 1-year subscription to Ai+ Training

We offer both in-person and virtual live tickets, so you can choose whichever works best for you. More details here - https://odsc.com/california/bootcamp/

ODSC Links:
• Get free access to more talks/trainings like this at AI+ Training platform:
https://app.aiplus.training/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://bit.ly/35pfPZo
• APAC Conference Sept 15th-16th: https://odsc.com/apac/
• West Conference November 16th - 18th: https://odsc.com/california/
• Code of conduct: https://odsc.com/code-of-conduct/

Past events (98)

Photos (130)