John Mark Agosta – Medium

John Mark Agosta

John Mark Agosta

Be careful since this term overloads a common and somewhat controversial term - the "power" of the…

Oct 26, 2023

Oct 26, 2023

John Mark Agosta
in
Decision Analysis

Decision Intelligence, the evolution of AI/ML

In March 2022 twelve forward-looking battle-tested practitioners from the related fields of Decision Analysis and Data Science spent a day…

Oct 3, 2023

Decision Intelligence, the evolution of AI/ML

Oct 3, 2023

John Mark Agosta

Artificial Intelligence is dead, long live Common Sense

At long last we have machines with common sense.

Jul 12, 2023

Artificial Intelligence is dead, long live Common Sense

Jul 12, 2023

John Mark Agosta
in
Decision Analysis

The True Meaning of Alignment: Decision Modeling in Data Science

Combining prediction with value modeling

Mar 13, 2022

The True Meaning of Alignment: Decision Modeling in Data Science

Mar 13, 2022

John Mark Agosta
in
Towards Data Science

Simply, Just Python in the Cloud

So you just want to run python at scale?

Jul 28, 2021

Simply, Just Python in the Cloud

Jul 28, 2021

John Mark Agosta

The need for rights to protect public facts against baseless claims

The current NY Times article on “Lawsuits Take the Lead in Fight Against Disinformation” makes me think its about time to enforce…

Feb 7, 2021

The need for rights to protect public facts against baseless claims

Feb 7, 2021

John Mark Agosta
in
Towards Data Science

The PCA Trick with Time-Series

PCA can be used to reject cyclic time-series behavior, and this works for anomaly detection.

Dec 21, 2020

The PCA Trick with Time-Series

Dec 21, 2020

John Mark Agosta
in
Decision Analysis

Decision Quality for Data Scientists: Lessons from Decision Professionals

Six principles that organize what I’ve learned over the years building models.

May 4, 2020

Source: Climate Change Risk Analysis for Projects in Kenya and Nepal Van der Vat, M.P., J.E. Hunink, D. Stuparu

May 4, 2020

John Mark Agosta

John Mark Agosta

"Data Science" is a broadly encompassing term, and I focus on modelling, specifically the initial statistical formulation stages.

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