Wow. What can I say for Nate Silver’s The Signal and the Noise that hasn’t already been said before. Personally, I try not to buy into the hype that circulates through our social media networks and news sources, as it oftentimes uplifts content beyond its true worth. I prefer to explore the subject of that hype for myself before making a judgment. Silver’s book, however, is an anomaly (a signal perhaps) amongst the noise of these subjects, a truly exceptionaly piece of work. In particular, I felt that Nate Silver does a few things extraordinarily well in his book, which I will discuss briefly below:
Building off the content of my blog post from last week, I wanted to share some of the additional learning I pursued after my technical interview. During the technical portion of the interview, the interviewer asked me a series of questions about trigonometric equations, such as:
As we get closer to our move date from NYC to Los Angeles (less than six weeks now eek!), and amid the current public health situation, I feel really fortunate to get responses to some of the applications I have submitted to companies in the area. It’s been a stressful week of putting myself out there and hoping I can convince employers that I’m the right fit for their role - I’d like to add that everyone I’ve had the privilege of speaking to has been truly wonderful, and made the experience a bit less stressful through their words of wisdom and willingness to get to know me better.
Hi all! Hope that everyone out there is staying safe and healthy given the current crisis. We’re certainly getting a bit stir-crazy here in our New York City shoebox, but are so looking forward to moving to Los Angeles in just a short six weeks. This week, I’ve been slightly crazed with interviews and applications as the job search gets more real (eek!!) so my weekly post is a bit shorter and less technical than the past several weeks.
With the excess free time that is quickly becoming our norm given the quarantine measures, I’ve dedicated much of that time to whittling down my reading list, including many titles related to the vast field of data science and technological innovation. Near the top of that list, I found Weapons of Mass Destruction by Cathy O’Neil, a journey through the various aspects of our society - from insurance policies to incarceration sentences, college admissions to online advertising - now dictated by machine learning algorithms in a way that exposes the inequities and injustices that these weapons of math destruction (or WMDs, as O’Neil refers to them throughout the book) tend to reproduce.