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Everyone wants to know how they can get their articles noticed in the endless expanse that is the internet. Most people think that there must be some kind of trick to it
If your model has acceptable results but isn’t amazing, take a look at your data! Cleaning and preprocessing your data will make your model a star.
It’s incredibly easy to get started with Git and GitHub. If you’re a fast reader (and you don’t take a lot of time with sign up and installation), you can be up and running on GitHub about ten minutes from right now. Let’s get started!
The brilliant beginner’s guide to model deployment: a clear and simple roadmap for getting your machine learning model on the Internet and doing something cool
You have heard of SciPy. Have you given any thought to getting involved with SciPy to let them know how they can improve their documentation?
Go behind the scenes to meet the people and learn about some of the work we’re doing right now with the technical documentation at NumPy and SciPy.
Welcome to Season of Docs! You’re going behind the scenes to meet the people and learn about the work being done right now at NumPy and SciPy.
Behind the scenes at NumPy and SciPy with Google Season of Docs Season of Docs has begun!!! What is Google Season of Docs? Google did an amazing thing by creating Season of Docs. It built real opportunities for technical writers to collaborate with open source...
Are you frustrated with how difficult it is to visualize your data the way you want to? Do you want your OBIEE data to easily connect with Tableau?
The inspiration for deep learning is the way that the human brain filters information. It’s literally an artificial neural network.
Errors in machine learning algorithms are creating critical (and nearly invisible) consequences.
Conquer the basics of multiple linear regression (and backward elimination!) and use your data to predict the future!
Even you can build a machine learning model. (Yes, you!) Good data alone doesn’t always tell the whole story.
Do you want to create a totally free portfolio, blog, or website but you don’t know where to start? It’s simple and painless if you know what to do!
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms. In fact, you’re probably reading this article right now because a deep learning algorithm thinks you should see it.
How do you teach a computer to correctly identify an image as a flower? How do you teach it to tell you what flower it is when you don’t know what it is?Let me show you!
Looking for free GPU? Google Colab has your back! Wondering how on earth to get it to work? You’re in the right place! Let me show you…
If your data hasn’t been cleaned and preprocessed, your model does not work. Data preprocessing is the first step toward building a machine learning model.
This article first appeared on Towards Data Science. What is an artificial neural network, how does it work, and what does it have to do with deep learning? Let’s start with a quick recap from part 1 for anyone who hasn’t looked at it: What is deep learning?...
You know where all those datasets are and you know where you want them to go, but how do you easily move your datasets from Kaggle into Google Colab without a lot of complicated madness?
Let me show you!
A notification pops up that someone posted a picture that might have you in it. It’s right. How did that happen? Image classification!