ready, fire, aim
Letters

How to Build AI Products and Businesses: Two Strategies

Dear friends, Building AI products and businesses requires making tough choices about what to build and how to go about it. I’ve heard of two styles: Ready, Aim, Fire and Ready, Fire, Aim
2 min read
Board with math equations
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. Here are some thoughts about how you might go
2 min read
Are You OK? Taking Care of Emotional and Mental Health
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?
1 min read
Developing AI Products Part 5: Data Drift, Concept Drift, and Other Maintenance Issues
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.
2 min read
Developing AI Products Part 4: Getting 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.
2 min read
The New Space Race
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. Next week, Jeff Bezos’ Blue Origin is
2 min read
Developing AI Products Part 3: Coping With 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. With traditional software, product managers can specify a product in ways that
2 min read
Developing AI Products Part 2: How To Assess Technical Feasibility
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. That’s why it’s
2 min read
How Developing AI Products is Different From Traditional Software
Letters

How Developing AI Products 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.
2 min read
Ready, Set, Improve the Data!
Letters

Ready, Set, Improve the Data!

I’m thrilled to announce the first data-centric AI competition! I invite you to participate.For decades, model-centric AI competitions, in which the dataset is held fixed while you iterate on the code, have driven our field forward. But deep learning
1 min read
Congratulations to all the Graduates!
Letters

Congratulations to all the Graduates!

Around the world, students are graduating. If you’re one of them, or if someone close to you is graduating, congratulations!!! My family swapped pictures on WhatsApp recently and came across this one,
1 min read
How to Make Tough Decisions
Letters

How to Make Tough Decisions

In school, most questions have only one right answer. But elsewhere, decisions often come down to a difficult choice among imperfect options. I’d like to share with you some approaches that have helped me make such decisions.
2 min read
Data-Centric AI Development: A New Kind of Benchmark
Letters

Data-Centric AI Development: A New Kind of Benchmark

Benchmarks have been a significant driver of research progress in machine learning. But they've driven progress in model architecture, not approaches to building datasets, which can have a large impact on performance in practical applications.
2 min read
When Not to Use Machine Learning
Letters

When Not to Use Machine Learning

I decided last weekend not to use a learning algorithm. Sometimes, a non-machine learning method works best.Now that my daughter is a little over two years old and highly mobile, I want to make sure the baby gate that keeps her away from the stairs is always shut.
1 min read
Introducing the Machine Learning Engineering for Production (MLOps) Specialization
Letters

Introducing the Machine Learning Engineering for Production (MLOps) Specialization

So you’ve trained an accurate neural network model in a Jupyter notebook. You should celebrate! But . . . now what? Machine learning engineering in production is an emerging discipline that helps individual engineers and teams put models into the hands of users.
2 min read

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