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Originally (intended to be) published as a series on Medium. Check out the articles here
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Short description of portfolio item number 1
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Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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Web scraping is a handy yet an often overlook aspect of data work. Using BeautifulSoup and preliminary knowledge of HTML, we can automate information extraction tasks from many webpages. In this tutorial we discuss the basics of web scraping and build python programs to extract and answer questions by scraping the web.
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Generative adversarial networks (GANs) have been at the forefront of research on generative models in the last couple of years. GANs have a diverse pool of application involving image generation, image processing, data generation for visual recognition. GANs’ potential is huge because they can learn to mimic any distribution of data. This talk describes the core idea behind a GAN and discuss a few applications.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.