Letters
Scientific Research Wants to be Free: US Officials Block Paywalls on Gov-Funded Studies
I’m thrilled! Paywalled journals that block free access to scientific research are the bane of the academic community.
Letters
Letters
How to Build a Career in AI, Part 7: Optimizing Your Job Search
Every job search is different. Here are some tips from Andrew Ng to increase the odds you’ll find the right position.
Letters
How to Build a Career in AI, Part 6: Job Search Fundamentals
Last week, I wrote about switching roles, industries, or both as a framework for considering a job search. If you’re preparing to switch roles or industries, there’s a lot about your target job that you probably don’t know.
Letters
How to Build a Career in AI, Part 5: Finding Your First AI Job
Andrew Ng presents a framework for job seekers in AI, especially those entering from a different field.
Letters
Toward More Consistent Decision-Making
Andrew Ng considers how inconsistent human decisions are, and how AI can reduce that inconsistency.
Letters
The Trouble With Reinforcement Learning
While working on Course 3 of the Machine Learning Specialization, which covers reinforcement learning, I was reflecting on how reinforcement learning algorithms are still quite finicky.
Letters
More Data for AI Developers: A New Law Makes it Easier to Scrape the Web
Many AI systems have been built using data scraped from the internet. Indeed, even the cornerstone dataset for computer vision research, ImageNet, was built using images taken from the public internet.
Letters
How to Build a Career in AI, Part 4: How to Sequence Projects to Build a Career
Last week’s letter focused on coming up with AI project ideas, part of a series on how to build a career in the field. This letter describes how a sequence of projects might fit into your career path.
Letters
How to Build a Career in AI, Part 3: Choosing Projects
In the last two letters, I wrote about developing a career in AI and shared tips for gaining technical skills. This time, I’d like to discuss an important step in building a career: project work.
Letters
How to Build a Career in AI, Part 2: Learning Technical Skills
Last week, I wrote about key steps for building a career in AI: learning technical skills, doing project work, and searching for a job, all of which is supported by being part of a community. In this letter, I’d like to dive more deeply into the first...
Letters
How to Build a Career in AI, Part 1: Three Steps to Career Growth
The rapid rise of AI has led to a rapid rise in AI jobs, and many people are building exciting careers in this field. A career is a decades-long journey, and the path is not always straightforward.
Letters
How to Keep the AI Community Growing
Many things in life have a positive side and a negative side. For instance, a new AI system might help democratize access, and at the same time it might be more accessible to people who have internet access than those who don’t.