I get a lot of views here on Medium. Close to 100,000 every 30 days. I’ve been writing for four months and only write three to five articles each month.
It’s pretty exciting.
(Update: Thanks to all of you amazing human beings, I reached 100K readers this month!)
Everyone wants to know how they can get their articles noticed in the endless expanse that is the internet. Whether you’re running a business, launching a new product, or putting everything you have into a blog, you want your content seen.
Most people think that there must be some kind of trick to it. There isn’t! You don’t need to be a part of a team that writes hundreds of articles a day. You don’t need to pay for views or hack any systems. There are a ton of simple and free things that you can do right now to make your content stand out and get noticed. …
I want to tell you something:
It’s not easy to break into a new field, especially one as complex and multi-faceted as data science. We’re living in a weird time where even the definition (and expectations) of data science changes from company to company. What a data scientist used to do, used to need to understand, and the types of companies that need to hire data scientists are in a state of rapid evolution.
Why in the world would there be only one path to follow?
Honestly, if you’re trying to break into data science, I can’t think of a better time to get started! …
The world runs on data and everyone should know how to work with it.
It’s hard to imagine a modern, tech-literate business that doesn’t use data analysis, data science, machine learning, or artificial intelligence in some form. NumPy is at the core of all of those fields.
While it’s impossible to know exactly how many people are learning to analyze and work with data, it’s a pretty safe assumption that tens of thousands (if not millions) of people need to understand NumPy and how to use it. …
You’ve heard of SciPy.
You’ve probably used it.
You might have looked through some of the technical documentation and user guides. You might even have an opinion of the documentation…
But have you given any thought to actually getting involved and letting SciPy know how they can improve their documentation? Telling SciPy what you like and what you don’t like?
How do you think the documentation can be improved?
Now’s your chance!
It’s scientific (Sci) Python (Py)! SciPy is a free and open-source Python library. It’s used for scientific computing and technical computing. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. …
Welcome! From September through November, our little corner of the open-source world is going to involve technical documentation updates at NumPy and SciPy.
From September through November, our little corner of the open-source world is going to involve technical documentation updates at NumPy and SciPy!
You’re going behind the scenes to meet the people and learn about some of the work we’re doing right now at NumPy and SciPy.
A couple of weeks ago, I told you I would let you know more about the technical writers who are going to be working with NumPy and SciPy during Google Season of Docs. It’s time to meet Christina Lee!
If you aren’t familiar with the project, you can read all about it here:
Google did an amazing thing by creating Season of Docs. It built real opportunities for technical writers to collaborate with open source organizations. …
You’re writing and people are seeing your work. More and more people every day. It’s possible that hundreds, thousands, or even tens of thousands of people have seen some of your pieces.
You’re getting obsessed with your stats.
You’ve watched your views climb. The number of views keeps getting higher and higher.
You check your dashboard, excited to see the largest payment listed that you’ve ever had…
You made almost nothing.
You’re crushed. Outraged! It must be a mistake!
I’m going to tell you a little secret: you will not get rich from pageviews alone. …
If you have a model that has acceptable results but isn’t amazing, take a look at your data! Taking the time to clean and preprocess your data the right way can make your model a star.
It’s learning from examples. That’s pretty much the deal.
At a very basic level, deep learning is a machine learning technique. It teaches a computer to filter inputs through layers to learn how to predict and classify information. Observations can be in the form of images, text, or sound.
The inspiration for deep learning is the way that the human brain filters information. Its purpose is to mimic how the human brain works to create some real magic.
It’s literally an artificial neural network.
In the human brain, there are about 100 billion neurons. Each neuron connects to about 100,000 of its neighbors. We’re kind of recreating that, but in a way and at a level that works for machines. …
You’re hoping that I’m going to tell you that there’s one perfect way to do this.
I’m going to tell you that there’s every way in the world to change your future and that you need to find the way that works for you. That finding your own unique way is the thing that you should do. You need to know that there is plenty of room for you in the world and what makes you different can be what gets you noticed.
Get out there and clear your own path!
And while you’re at it, write about it! …