Why we should expect more from the C-Suite when it comes to machine learning and AI

Photo by Franki Chamaki on Unsplash

Before I get into my discussion, this blog post was prompted after I read this article: https://venturebeat.com/2021/05/25/65-of-execs-cant-explain-how-their-ai-models-make-decisions-survey-finds/. It’s a quick read and I would suggest reading the article before continuing with this blog post!

I’d also recommend getting a copy of Weapons of Math Destruction by Cathy O’Neil. It is a great read and will help you gain an understanding of why ethics are a necessary part of artificial intelligence.


Opinion

Making the business case for why Twitter Sentiment Analysis is useful in today’s world

Photo by Marten Bjork on Unsplash

In just a few weeks, we will be one year removed from the declaration of a global health pandemic by the World Health Organization. It goes without question that we have had to adapt to a new set of circumstances and adopt new practices to ensure our safety.

One of the changes we have had to make is the elimination of large public gatherings. The onset of COVID-19 eliminated in person attendance at concerts, sporting events, and the movies. For companies like Apple and Google, this meant they had to rethink how they would go about hosting an event like…


Using Supervised Machine Learning to build an NBA Position Classifier

Kobe Bryant shoots a free throw during a game against the Sacramento Kings. Photo by Ramiro Pianarosa on Unsplash

Let’s start this blog with an important question: Why would you need to use machine learning to classify NBA players by position? A casual basketball fan would likely have watched enough basketball to identify which player plays which position. Even a person with no knowledge of the game could find some YouTube clips of the all time greats to understand what each position does. So what extra information might a machine learning algorithm offer us that would justify its use?

Well, when it comes to the task of classification, machine learning algorithms are using a predicted probability to decide whether…


Using regression to rank the most important features for determining the price of a house

Photo by Maximillian Conacher on Unsplash

So you may have heard the old adage “Location, location, location” when it comes to real estate. I know I heard it more than a few times growing up with a father who was a realtor for a few years. The phrase was first coined by Harold Samuel in 1944, and it simply means that the location of a home greatly influences its price. If you’ve ever seen an episode of House Hunters then you might have noticed that a home closer to a downtown hub might cost more than a home in suburbs outside of the city. …


An investigation into the metrics that make blockbuster and award winning films

Photo by GR Stocks on Unsplash

As a part of the Flatiron School bootcamp requirements, we are required to complete a project at the end of each learning module that demonstrates our ability to apply what we’ve learned.

The prompt for the first project is as follows:

Microsoft wants to enter into the movie industry, however they have no prior knowledge of the industry and they need help so that their movie studio can be successful.

The primary skills that required to perform the exploratory data analysis (EDA) of the movie industry included: webscraping, storing and cleaning the data in a pandas dataframe, and visualization of data using seaborn and matplotlib. …


My first exposure to data science was 9 years ago and I didn’t even know it. Now I’m making the career switch to data science.

At the time of writing, I’ve been enrolled in the Flatiron School Online Data Science Bootcamp for a little over a month. I believe there are two important takeaways at this point in this program:

1. I truly enjoy what I’m learning and being able to apply these concepts to real life questions.

2. A younger version of myself wouldn’t have imagined pursuing a career in data science at all!

I studied mechanical engineering for…

Jeremy Lee

Aspiring Data Scientist studying @ Flatiron School. Basketball fan. Duke Class of 2016 — https://www.linkedin.com/in/jeremyalee1/

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