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Workshops Lineup: DataHack Summit 2023

Analytics Vidhya

Introduction Workshops at DataHack Summit 2023 offer a unique and invaluable opportunity for individuals in the field of data science and AI. Whether you are a seasoned professional or just starting out, attending these workshops can greatly enhance your skills and knowledge in this rapidly evolving field.

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The Business Analyst's Guide To Running Virtual Workshops

BA Learnings

From running physical workshops with a room filled with eager participants to managing virtual workshops where participants are in different geographical locations with some participants perhaps preferring to hide behind their screens. Interested in sharing screen mockups, process models or user story maps?

Modeling 264
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Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278
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Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. This workshop helps assess where your organization sits on the analytics maturity scale and where you might aspire to be. Workshop video modules include: Breaking down data silos.

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Types of Data Models: Conceptual, Logical & Physical

erwin

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts. Logical Data Models: Entity types, data attributes and relationships between entities.

Modeling 143
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Self Hosting RAG Applications On Edge Devices with Langchain and Ollama – Part I

Analytics Vidhya

Introduction In a cozy corner of a tech enthusiast’s workshop, the quest began: could a tiny Raspberry Pi handle the power of advanced AI? This article follows that journey, showing how to transform this small device into a capable tool for smart document processing.