Toggle navigation
TWunroll
TWunroll
faq
Contact US
Santiago
svpino
Want to hear a secret?Regardless of your experience, here is an area of Machine Learning where you can have a huge impact: Feature Engineering It sounds fancy because people love
Read more
Today let's talk about why we keep "splitting the data" into different sets.Besides machine learning people being quirky, what else is going on here?Grab your coffee , and let's do
Read more
Interviews aren't broken.A lot of people complain about them, yet few have any experience hiring.This is a rant full of my own biases and limited perspective —a break from machine
Read more
Seriously though, how the heck can a computer recognize what's in an image?Grab a coffee , and let's talk about one of the core ideas that makes this possible.(I'll try
Read more
Everything you need to know about the batch size when training a neural network.(Because it really matters, and understanding it makes a huge difference.)A thread. Gradient Descent is an optimization
Read more
The one million dollar question:"Is it reasonable for someone to dive into machine learning with a shallow knowledge of math?" The short answer is "yes." The more nuanced answer is
Read more
I built a model to predict whether you'll be involved in a crash next time you get in a car.And it's 99% accurate!Allow me to show you... Here is the
Read more
After well over a decade fully dedicated to web development, I learned a thing or two.Here are a few thoughts that may be helpful: Obviously, HTML, JavaScript, and CSS are
Read more
Some of the things I've learned in more than 20 years in the tech industry.You need to hear these. Listen to more people who don't look like you, don't speak
Read more
20 machine learning questions that will make you think.(Cool questions. Not the regular, introductory stuff that you find everywhere.) 1. Why is it important to introduce non-linearities in a neural
Read more
10 fundamental practices that will improve your career in tech. [1] Understand the power of "good enough."A working, good enough solution is usually better than a non-existent perfect solution.Learn to
Read more
5 differences between a machine learning system and the software you are building today: 1. The TeamUsually, a machine learning system needs the involvement of many different disciplines:- Data Scientists-
Read more
‹
1
2
3
›
By continuing to use the site, you are consenting to the use of cookies as explained in our
Cookie Policy
to improve your experience.
I agree