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For my final project at Lambda School I was put into a cross-functional team that would work directly with Bridges To Prosperity, a non-profit focused on building footbridges over impassable rivers in isolated communities to create access to essential health care, education and economic opportunities. The problem Bridges To Prosperity faced concerned their engineering department: the engineers spent an inordinate amount of time reviewing bridge sites, that in some cases need immediate attention, before being able to make a decision regarding whether to build at the site. …


Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

I just recently completed an ML Interview take home assessment, which was to read a paper (provided by the company I am interviewing at) and answer three questions in a concise manner. Following my submission for this exercise, I thought this would be a great opportunity to share what I have learned from the paper while providing real questions from the interview, so that people trying to break into ML can get an idea of how to prepare (For confidentially purposes I will not state the company name). In order to provide the most value to my readers I will…


Testing Natural Language Processing and Latent Dirichlet Allocation (Topic Modeling/Unsupervised Learning)

This is part 2 of my journey to build a machine learning model that can predict whether or not a startup will go on to raising an additional round of funding after raising a seed round. This time around I decided to utilize the power of the NLP (natural language processing) and Topic Modeling (Latent Dirichlet Allocation).

Quick recap: Venture capital is a form of private equity and a type of financing that investors provide to startup companies and small businesses that are believed to have long-term growth potential. After thoroughly researching the industry I noticed that machine learning has…


link to repository: https://github.com/noah40povis/Build-Week-2.git

VC firms have been using sourcing algorithms for a few years now because it allows them to be more efficient in identifying potential investments. I do not know to what extent these firms rely on predictive modeling to find the next Uber because VC's like to keep their secret sauce internal so I thought creating a basic predictive model would help me better understand what the potential upside and downside these models could be providing for these firms.

I would assume Top Tier VC firms gather data from the startups they invest in, consider investing in…

Noah Povis

Passionate about startups, venture capital, machine learning and connecting with good people. https://www.linkedin.com/in/noahcp/

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