What we're about

Welcome to Data Science Dojo's Meetup group. Our goal is to help connect other like-minded business professionals who are interested in teaching, learning, and sharing their knowledge and understanding of data science to a larger community.

We encourage all members of this group to be pro-active in leading discussions on topics related to data science like machine learning, artificial intelligence, predictive analytics, big data, and IoT, as well as programming languages such as R, Hadoop, and Python.

Stay tuned to our Meetup calendar for future community events and be sure to follow us on Twitter at @DataScienceDojo. Also, be sure to visit our data science bootcamp (https://datasciencedojo.com/data-science-bootcamp/) for more information about our training.

We are always looking for new speakers/presenters! If you're interested, please email Nathan at npiccini@datasciencedojo.com.

Upcoming events (3)

Natural Language Processing in Mental Health

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The everyday language of an individual can indicate patterns of thought and emotion predictive of their mental illness. In this talk, Neguine will discuss how natural language processing methods can be used to extract indicators of mental health from language to help address long-standing problems in neuropsychiatry, along with the potential hazards of this technology.

Reliable and Reusable Python Script Sharing with KNIME

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In large organizations, higher productivity results from collaboration on preferred tools. Regardless of the tools your data team prefers, KNIME offers a solution for fast and productive collaboration! Python scripts can now be made available to all the KNIME users in the organization in a reliable and user-friendly way.
In the first part of this webinar, we will focus on a low-code approach. You will learn how to wrap Python scripts in the KNIME component, – KNIME’s native solution for sharing and reusing bundled functionalities.
In the second part of the webinar, we will go full code and show the Pythonists how to write KNIME nodes and extensions in Python. This new capability offers data scientists an easy coding framework to wrap existing and custom Python libraries, define node configuration, and execution, as well as dialog definition via a Pythonic API.
In this session you will learn:

  • How to build reliable and reusable components with Python scripts (low code)
  • How to write KNIME nodes and extensions completely in Python (full code)
  • To boost collaboration across the organization
  • To share your work with KNIME users in a friendly and effective way

The Ultimate Guide to AI Infrastructure in 2022

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With hundreds of AI/ML infrastructure tools on the market, how do you make sense of it all? Which parts of the stack are mature? How do you know where to invest your precious time and resources to get the best results for your rapidly growing team of data engineers and data scientists?
At the AI Infrastructure Alliance, a non-profit organization dedicated to research and education, we recently delivered the most comprehensive report on the entire AI infrastructure ecosystem to help answer these very questions. We went way beyond marketing and dug deep into documentation, demos, and examples to understand the real capabilities of everything from orchestrators and pipelines, to training, deployment, monitoring, security, and management platforms.
In this talk we deliver the essential insights from our research, giving technical execs and architects the keys they need to build or expand their infrastructure by providing a comprehensive and clear overview of the entire AI/ML infrastructure landscape.

Past events (73)

Tips for Building a Data Science Portfolio

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Photos (107)