Jamie Crossman-Smith – Medium

Jamie Crossman-Smith

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Low Code for Data Science

The AI Regulation Dilemma: Ethical Progress or Dystopian Future?

Will we use AI responsibly to solve our biggest problems, or let it run wild and cause chaos?

May 25, 2024

The AI Regulation Dilemma: Ethical Progress or Dystopian Future?

May 25, 2024

Published in
Low Code for Data Science

The Paradox of Naive Bayes: When Simple Becomes Sophisticated

A theoretical intro that shows how its theoretical elegance, practical efficiency and effectiveness continue to make it a valuable tool…

20h ago

The Paradox of Naive Bayes: When Simple Becomes Sophisticated

20h ago

Published in
Low Code for Data Science

The Complete Guide to Support Vector Machines: From Theory to Practice

Hyperparameters, advantages, limitations, real-world applications and more

Feb 3

The Complete Guide to Support Vector Machines: From Theory to Practice

Feb 3

Machine Learning for Auditors and Finance Teams: A Simple Guide

Why Machine Learning?

Nov 7, 2024

Machine Learning for Auditors and Finance Teams: A Simple Guide

Nov 7, 2024

Reducing Bias in AI: How Compliance and Internal Audit Specialists Can Leverage Fairlearn

Photo by Google DeepMind on Unsplash

Oct 15, 2024

Reducing Bias in AI: How Compliance and Internal Audit Specialists Can Leverage Fairlearn

Oct 15, 2024

The Future of Internal Audit in the Age of AI: It’s Not About the Technology at All.

This is behind a paywall. If you would like to read the article please click here.

Jun 5, 2024

The Future of Internal Audit in the Age of AI: It’s Not About the Technology at All.

Jun 5, 2024

Published in
Low Code for Data Science

Embracing Digital Transformation: A Survival Guide for Mid-Market Firms

Success does not lie just in the adoption of new technologies, but in the ability to adapt, learn, and continuously improve

Apr 22, 2024

Embracing Digital Transformation: A Survival Guide for Mid-Market Firms

Apr 22, 2024

Published in
Low Code for Data Science

Ensuring Data Quality in the Age of AI: A Framework for Financial Institutions

Unlock the potential of AI-driven decision-making in finance with a robust data quality management framework

Apr 9, 2024

Ensuring Data Quality in the Age of AI: A Framework for Financial Institutions

Apr 9, 2024

Published in
Low Code for Data Science

XGBoost Explained: A Beginner’s Guide

Understand how XGBoost works, when to use it, and its advantages over other algorithms

Mar 24, 2024

XGBoost Explained: A Beginner’s Guide

Mar 24, 2024

Published in
Low Code for Data Science

Overcoming AI Bias: Understanding Bias in Machine Learning and Humans

A story of machines and men

Mar 16, 2024

Overcoming AI Bias: Understanding Bias in Machine Learning and Humans

Mar 16, 2024

Jamie Crossman-Smith

Jamie Crossman-Smith

Jamie is Founder at Bloch.ai, the applied innovation specialists. He is also a Visiting Fellow in Enterprise AI at MMU.

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