Blog Post: Fake News Classification

Rampant misinformation—often called “fake news”—is one of the defining features of contemporary democratic life. In this Blog Post, you will develop and assess a fake news classifier using Tensorflow.

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HW2: Web Scraping

What’s your favorite movie or TV show? Wouldn’t it be nice to find more shows that you might like to watch, based on ones you know you like? Tools that address questions like this are often called “recommender systems.” Powerful, scalable recommender systems are behind many modern entertainment and streaming services, such as Netflix and Spotify. While most recommender systems these days involve machine learning, there are also ways to make recommendations that don’t require such complex tools.

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My First Post!!

I’m an awesome PIC16B student and I am running Jekyll!
I am also learning about markdown!
I can do lists!

  1. one
  2. two
  3. three
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Plotly Example

Fortunately, it’s pretty easy to embed interactive HTML figures produced via Plotly on your blog. Just use plotly.io.write_html() to save your figure. Then, copy the resulting HTML file to the _includes directory of your blog. Finally, place the code

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Blog Post 0

In this blog post assignment, you’ll create a short post for your new website. The primary purpose is to give you some practice working with Jekyll blogging with Python code.

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Example post

In this post, I’ll show how to create a helpful histogram of some synthetic data.

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Creating posts

In this post, we’ll see some examples of how to create technical posts that include Python code, explanatory text, and notes about your learnings. We’ll go over the primary methods that you’ll use to embed content in your posts.

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Software Installation

The purpose of this exercise is to get you set up with the software tools we’ll use in PIC16B, including Anaconda, git + GitHub, and Jekyll.

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