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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. Adapted from the book Effective Data Science Infrastructure. An Overarching Concern: Correctness and Testing.

IT 363
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Do You Need a DataOps Dojo?

DataKitchen

For example, some teams may recognize services revenue in the quarter booked, and others may amortize the revenue over the contract period. Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . Agile ticketing/Kanban tools. Deploy to production. Product monitoring.

Metrics 243
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How to Set AI Goals

O'Reilly on Data

My book, AI for People and Business , introduces a framework that highlights the fact that both people and businesses can benefit from AI in unique and different ways. In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time.

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10 Books that Data Analyst Should Read

FineReport

Then these books, I think you must read. The author is known as “the prophet of the big data era”, this book is the first of its kind in the study of big data systems. Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. From Google. About thinking.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. Testing out a new feature. Identify, hypothesize, test, react.

Metrics 157
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Web Analytics 2.0 Book: In Stores Now!!

Occam's Razor

I am absolutely thrilled that my book Web Analytics 2.0 The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. Request for help.

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What Are ChatGPT and Its Friends?

O'Reilly on Data

It has helped to write a book. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. The world is full of uncreative boilerplate content that humans have to write: catalog entries, financial reports, back covers for books (I’ve written more than a few), and so on.

IT 344