Just as we have best practices for creating a machine learning model, Data Scientists should be bound to a set of rules when it comes to ethical conduct — The consequences of machine learning extend beyond predictive performance. In this article, we explore a potential path towards creating an oath for Data Scientists. The objective of the Data Scientist’s Oath is to establish a standard for ethical content across the profession. I‘m hopeful…

Leverage machine learning capabilities to fulfill your organization’s mission statement. — Increasingly, Data Science is recognized as a key capability for capitalizing on data as a strategic resource. In this article, we outline how leaders in Data Management and Information Technology can use Data Science and Machine Learning to open the door to new opportunities. Data Science can unlock complex patterns…

Mastery of this intuitive statistical concept will advance your credibility as a decision maker. — Bayes Theorem gives us a way of updating our beliefs in light of new evidence, taking into account the strength of our prior beliefs. Deploying Bayes Theorem, you seek to answer the question: what is the likelihood of my hypothesis in light of new evidence? In this article, we’ll talk…

Even in the aftermath of the replication crisis, statistical significance lingers as an important concept for Data Scientists to understand — There are many types of statistical tests — null hypothesis significance testing predominates. With this technique, the objective is to test an observation against the null hypothesis. You can think of the null hypothesis as the status quo. It represents the situation where the intervention does not work.

Drop in for some tips on how this fundamental statistics concept can improve your data science. — The distribution of data refers to the way the data is spread out. In this article, we’ll discuss the essential concepts related to the normal distribution: Ways to measure normality Methods to transform a dataset to fit the normal distribution Use of the normal distribution to represent naturally occurring phenomena…

The tools you need to succeed with machine learning in the new year. — Web Resources 🔦 ML Showcase — great for project inspiration, this repository of data science projects from Team Paperspace should certainly get your wheels turning. 🎓 Codecademy — time after time, I find myself recommending this powerful learning platform to folks breaking into coding or looking to pick up new languages. The…

The sixth tool is coffee. — In Stephen Covey’s masterful 7 Habits of Highly Effective People, the seventh habit is “sharpen the saw.” This refers to enhancing our assets to seek continuous improvement in our work. As Abe Lincoln said, Give me eight hours to chop down a tree, and I will spend the first six…

A step-by-step walkthrough for a simple portfolio project using sklearn’s clustering algorithm to create an interactive dashboard for your city. — Through unsupervised learning, a data scientist can explore an unlabeled dataset to produce categories or clusters. You can use this technique to create a neighborhood explorer tool to help residents and visitors develop an understanding of points of interest near where you live.

The size of the digital universe increased 3000% in the past decade. Here’s how to manage all your organization’s data. — This article will help you understand the whys and hows of implementing better data management practices at your organization. In 2020, the size of our digital universe is 40 zettabytes. By comparison, the world had produced just 1.2 zettabytes of data by the year 2010. That represents explosive growth of…