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)

“Chicken or the Egg” in MLOPs: The Case of the DIY Feature Store

To access this webinar, please register here: https://app.aiplus.training/courses/chicken-or-the-egg-in-mlops-the-case-of-the-diy-feature-store

Topic: “Chicken or the Egg” in MLOPs: The Case of the DIY Feature Store

Speaker: Ariel Biller, Evangelist at ClearML

Researcher first, developer second. Over the last 5 years, Ariel has worked on various projects; from the realms of quantum chemistry, massively-parallel supercomputing to deep-learning computer-vision. With AllegroAi, he helped build an open-source R&D platform (Allegro Trains), and later went on to lead a data-first transition for a revolutionary nanochemistry startup (StoreDot). Answering his calling to spread the word, he recently took up the mantle of Evangelist at ClearML. Ariel received his PhD in Chemistry in 2014 from the Weizmann Institute of Science. Ariel recently made the transition to the bustling startup scene of Tel-Aviv, and to cutting-edge Deep Learning research.

Abstract:

While developing MLOps in an organization, one often encounters the “chicken or the egg” paradox: On one hand, a certain abstraction, workflow, or tool is hypothesized to be a good fit. On the other hand, there are often considerable integration efforts even before feasibility testing can commence.

In other words, you cannot know if the tool works unless you “buy in”.

The common solution is to “build” internal implementations which optimize for integration ease. Most of these “interim” solutions take a life on their own and will only be replaced once (if) they outlive their usefulness or another abstraction is adopted.
In this webinar, we will simulate this low-integration-cost process by building a feature-rich Feature Store for offline use using the ClearML Open Architecture Stack.

We will use this surprisingly simple process to understand the following:

How to iteratively add MLOps onto functioning code

How DataOps and MLOps can be used during R&D

How to involve Data Scientists in the feasibility testing stage

How ClearML core components provide a robust infrastructure to build upon
Finally, we will compare our own DIY Feature Store with off-the-shelf solutions and understand the gap between “in-house” and “store-bought”.

PS: This webinar expands upon the ClearSHOW episodes S02E04-S02E08

Prior knowledge needed:
“What is a feature store” (2 min video)
Basic pandas (we will be using a few lines from this
Jupyter notebooks

Environment requirements (in case you want to follow along):
ClearML installed (Free or self-hosted)
Jupyter server or colab notebook.
clearml-agent running (for automation)

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

[November]ODSC West - additional 5% with ODSCCommunity discount code - https://bit.ly/3fGU0sS

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: http://bit.ly/2RkOf9l
• 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: Bayesian Inference with PyMC

Online event

This is a PAID event.

Registration is required: https://aiplus.training/live/bayesian-inference-with-pymc/

Level INTERMEDIATE

Instructor's bio: Allen Downey, Professor at Olin College

Allen Downey is a Professor of Computer Science at Olin College of Engineering in Needham, MA. He is the author of several books related to computer science and data science, including Think Python, Think Stats, Think Bayes, and Think Complexity. Prof Downey has taught at Colby College and Wellesley College, and in 2009 he was a Visiting Scientist at Google. He received his Ph.D. in Computer Science from U.C. Berkeley, and M.S. and B.S. degrees from MIT.

Abstract:

Bayesian methods are powerful tools for using data to answer questions and guide decision making under uncertainty. This workshop introduces PyMC, which is a Python library for Bayesian inference. We will use PyMC to estimate proportions and rates, and use those estimates to generate predictions. These methods have applications in business, science, and engineering.

Course Outline
1. Introduction
2. Notebook 1
3. Notebook 2
4. Notebook 3
5. Notebook 4
5. Outro

Which knowledge and skills you should have?
- Familiarity with Python at an intermediate level
- You should be familiar with basic probability, especially Bayes's Theorem. As preparation, you might want to read Chapters 1-3 of Think Bayes, or review the Bayesian Decision Analysis workshop.

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/

Enhancements Milvus v2.0

Online event

To access this webinar, please register here: https://app.aiplus.training/courses/enhancements-milvus-v2-0

Topic: Enhancements Milvus v2.0

Speaker: Xiaofan Luan, Zilliz cloud platform developer

Graduated from Cornell University with a master's degree in Computer Science. He has more than 7 years of experience in data storage, database development, and architecture design. Before joining Zilliz, he worked in Oracle, Hedvig, and the Alibaba Cloud database team. Currently, he is in charge of Milvus, an open source vector database, and Zilliz cloud platform development.

Abstract:
Learn about Milvus v2.0 and the groundbreaking functionality developed by the Milvus core team. v2.0 includes feedback from over 1000+ enterprise users and 10,000 community members in order to build a better database to serve enterprises in more AI and big data scenarios.

This webinar will focus on the enhancements to Milvus 2.0 which include:

- Feature Updates - includes delete, string ID support and Golang SDK support among other feature requests from customers that will demonstrate the enhancements of the newest version.
- We will also showcase a performance benchmark report for Milvus 2.0
- Highlight use cases of 2.0

[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: http://bit.ly/2RkOf9l
• 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/

ODSC APAC Virtual Conference 2021

Online event

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

Free General Pass - https://bit.ly/3eYLK8h
All-Access Pass - https://bit.ly/33W7gnV

With over 20 workshops over 2 days, ODSC APAC offers unprecedented breadth and depth of instruction.

Focus Areas
- Deep Learning
- Machine Learning
- Research Frontiers
- Data Visualization
- Data Engineering/MLOps
- Natural Language Processing

ODSC APAC Virtual Conference promises to be one of our most exciting lineups yet!

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: http://bit.ly/2RkOf9l
• Europe Conference June 8th - 10th: https://odsc.com/europe/
• West Conference November 15th - 18th: https://odsc.com/california/
• Code of conduct: https://odsc.com/code-of-conduct/

Past events (83)

Ai+ Certification Preview

Online event

Photos (99)