Letters
How to Learn Math for Machine Learning
How much math do you need to know to be a machine learning engineer? It’s always nice to know more math! But there’s so much to learn that, realistically, it’s necessary to prioritize.
Letters
How to Learn Math for Machine Learning
How much math do you need to know to be a machine learning engineer? It’s always nice to know more math! But there’s so much to learn that, realistically, it’s necessary to prioritize.
Letters
Are You OK? Taking Care of Emotional and Mental Health
Since the pandemic started, several friends and teammates have shared with me privately that they were not doing well emotionally. I’m grateful to each person who trusted me enough to tell me this. How about you — are you doing okay?
Letters
Are You OK? Taking Care of Emotional and Mental Health
Since the pandemic started, several friends and teammates have shared with me privately that they were not doing well emotionally. I’m grateful to each person who trusted me enough to tell me this. How about you — are you doing okay?
Letters
Developing AI Products Part 5: Data Drift, Concept Drift, and Other Maintenance Issues
In earlier letters, I discussed some differences between developing traditional software and AI products, including the challenges of unclear technical feasibility, complex product specification, and need for data to start development.
Letters
Developing AI Products Part 5: Data Drift, Concept Drift, and Other Maintenance Issues
In earlier letters, I discussed some differences between developing traditional software and AI products, including the challenges of unclear technical feasibility, complex product specification, and need for data to start development.
Letters
Developing AI Products Part 4: Getting Data To Start Development
In a recent letter, I mentioned some challenges to building AI products. These problems are distinct from the issues that arise in building traditional software. They include unclear technical feasibility and complex product specification.
Letters
Developing AI Products Part 4: Getting Data To Start Development
In a recent letter, I mentioned some challenges to building AI products. These problems are distinct from the issues that arise in building traditional software. They include unclear technical feasibility and complex product specification.
Letters
The New Space Race
I’ve been following with excitement the recent progress in space launches. Earlier this week, Richard Branson and his Virgin Galactic team flew a rocket plane 53 miles up, earning him astronaut wings.
Letters
The New Space Race
I’ve been following with excitement the recent progress in space launches. Earlier this week, Richard Branson and his Virgin Galactic team flew a rocket plane 53 miles up, earning him astronaut wings.
Letters
Developing AI Products Part 3: Coping With Product Specification
In a recent letter, I noted that one difference between building traditional software and AI products is the problem of complex product specification.
Letters
Developing AI Products Part 3: Coping With Product Specification
In a recent letter, I noted that one difference between building traditional software and AI products is the problem of complex product specification.
Letters
Developing AI Products Part 2: How To Assess Technical Feasibility
Last week, I mentioned that one difference between traditional software and AI products is the problem of unclear technical feasibility. In short, it can be hard to tell whether it’s practical to build a particular AI system.
Letters
Developing AI Products Part 2: How To Assess Technical Feasibility
Last week, I mentioned that one difference between traditional software and AI products is the problem of unclear technical feasibility. In short, it can be hard to tell whether it’s practical to build a particular AI system.
Letters
Developing AI Products Part 1: How AI Product Development is Different From Traditional Software
With the rise of software engineering over several decades, many principles of how to build traditional software products and businesses are clear. But the principles of how to build AI products and businesses are still developing.
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