Anything that I find that’s important, I’ll highlight on my Kindle. All of those highlights automatically go to myReadwisewhere I can add them to my learning system. Readwise is fantastic because it automatically scrapes all of my Kindle highlights and puts them into one place for me wher...
data and machine learning (ML) -- areexpectedto grow by 23% between 2022 and 2032, a growth rate much faster than average. To capitalize on this upward trend, job seekers need to understand what types of ML opportunities are available...
The first thing I tell someone who wants to get into machine learning is to take Andrew Ng'sonline course. I think Ng's course is very much to-the-point and very well organized, so it is a great introduction for someone wanting to get into ML. I am surprised when people tell me th...
As an engineer, I also find many machine learning research papers hard to get much benefit from. They tend to assume a lot of prior knowledge from the academic world, and prefer presenting their ideas in math rather than code. They can be useful once you’re experienced, but don’t worry...
The self-starter way of mastering ML is to learn by"doing sh*t."(not the technical term). Traditionally, students will first spend months or even years on the theory and mathematics behind machine learning. They'll get frustrated by the arcane symbols and formulas or get discouraged by the ...
What should I do if I want to get ‘better’ at machine learning, but I don’t know what I want to learn? In this post you will discover a summary of Colorado recommendations and a breakdown of his roadmap. Level-up Your Machine Learning ...
I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning roles. It’s hard to get hired into your first machine learning role. That means I…
If other people look similar enough to get into the phone and continue using it, the phone’s prediction that the user is the owner becomes unreliable. 11:00 It can also be dangerously easy to introduce biases into machine learning, especially if multiple factors are in play. Suppose a ...
In this episode we discuss books, software, courses, and podcasts designed to help you become a machine learning expert! Show Notes: Hello everyone! Welcome to the 78th podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is to discuss important concepts of...
If other people look similar enough to get into the phone and continue using it, the phone’s prediction that the user is the owner becomes unreliable. It can also be dangerously easy to introduce biases into machine learning, especially if multiple factors are in play. Suppose a lender uses...