What we're about

More details here - https://odsc.com/california/

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:

• Meetup/Webinar Speaker Submission Form https://forms.gle/STEDWxgWBMnLnt8F8

• Suggest a Meetup Topic Form
https://forms.gle/FAnBGMnC6puP1zLs6

• Volunteer Form
https://forms.gle/rJB2k8ZvU7mj1R3c8

• Host or Sponsor Form
https://forms.gle/bVdnzttfSuKkWrHq5

• Showcase your Startup Form
https://forms.gle/2Z31dmGPe7RTw28B9

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q01nsVhk0
• ODSC West 2022 November 1st-3rd - https://hubs.li/Q019Z1yK0
• Code of conduct: https://odsc.com/code-of-conduct/

Upcoming events (2)

Webinar "Low-code AI at your Fingertips"

Link visible for attendees

To access this webinar, please register here: https://hubs.li/Q01wrfZq0

Topic: "Low-code AI at your Fingertips"

Speaker: Ashish Bhatia, Principal Product Manager at Microsoft

With over 2 decades of experience in the tech industry, including 8 years at Microsoft building AI solutions and supporting customers with the Microsoft AI Platform, Ashish has a track record of delivering global projects and driving innovation. Prior to Microsoft, Ashish spent 10 years at Nokia working on projects in various locations around the world.

Abstract:
Join us for an exciting talk on the low-code no-code revolution, and how it is making AI accessible to everyone, not just developers. With the rise of low-code platforms, citizen developers can now easily build and deploy AI models without any prior programming experience. Imagine being able to bring your innovative AI ideas to life with just a few clicks.

This talk will showcase the power of low-code AI and inspire attendees to become part of this movement. Don't miss out on this opportunity to learn how you can leverage AI Builder and Power Platform to drive the next generation of intelligent solution.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q01vtKtz0
• ODSC East 2023 May 9-11th - https://hubs.li/Q01nwjvl0
• Code of conduct: https://odsc.com/code-of-conduct/

Live Training: "Introduction to Fraud and Anomaly Detection"

Link visible for attendees

This is PAID session.
To access this training, please register here: https://hubs.li/Q01wJdJy0

Topic: "Introduction to Fraud and Anomaly Detection"
Speaker: Dr. Aric LaBarr, Associate Professor in the Institute for Advanced Analytics

Dr. Aric LaBarr is passionate about helping people solve challenges using their data. There he helps design the innovative program to prepare a modern workforce to wisely communicate and handle a data-driven future at the nation’s first Master of Science in Analytics degree program. He teaches courses in predictive modeling, forecasting, simulation, financial analytics, and risk management. Previously, he was Director and Senior Scientist at Elder Research, where he mentored and led a team of data scientists and software engineers. As director of the Raleigh, NC office he worked closely with clients and partners to solve problems in the fields of banking, consumer product goods, healthcare, and government. Dr. LaBarr holds a B.S. in economics, as well as a B.S., M.S., and Ph.D. in statistics — all from NC State University.

Abstract:

  • Develop good features (recency, frequency, and monetary value as well as categorical transformations) for detecting and preventing fraud
  • Identify anomalies using statistical techniques like z-scores, robust z-scores, Mahalanobis distances, k-nearest neighbors (k-NN), and local outlier factor (LOF)
  • Identify anomalies using machines learning approaches like isolation forests and classifier adjusted density estimation (CADE)
  • Visualize these anomalies identified by the above approaches

### Prerequisites

  • Introductory R/Python
  • Basic introduction to decision trees (this isn’t required, but helpful for understanding)
  • Basic introduction to classification models like logistic regression, decision trees, etc. (this isn’t required, but helpful for understanding)

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q01xRrM20
• ODSC East 2023 May 9-11th - https://hubs.li/Q01nwjvl0
• Code of conduct: https://odsc.com/code-of-conduct/