Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

data scientists

The Missing Analytics Executive

 Originally published in Benn.Substack, Nov 19, 2021. There’s a treadmill at the mountain top. Among the data leaders I know, many of their stories are the same. After rising up the ranks of their organizations, from junior analysts and data scientists, through positions as team leads and managers, and eventually to directors and VPs, their

Why AI Isn’t Going to Replace Data Scientists Any Time Soon

 Should data scientists consider AI a threat to their short- or even long-term job security? In this article, I present a philosophical argument that adamantly argues, “No.” For the work of data scientists, and human endeavors in...

How Can We Fix the Data Science Talent Shortage?

 Originally published in Springboard Blog, Jan 22, 2021. Data science might just be the most buzzed-about job in tech right now, but its pop culture sheen conceals some of the harsh realities of being a fresh graduate in...

97 Things About Ethics Everyone In Data Science Should Know

 Every now and then an opportunity comes along that you just can’t pass up. One such opportunity that fell into my lap was when O’Reilly media reached out to me to see if I was interested in...

“If We Place Graduates Into the Private Sector, We Failed”: Why Universities and Companies Need to Rethink the Role of the PhD

 This is part 4 of a 5-part series on university/corporate partnerships in analytics and data science. In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las...

How to Perfect Your Data Science Resume in 3 Easy Steps

 Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field. There are a few simple steps you can...

Wise Practitioner – Predictive Analytics Interview Series: Anasse Bari, New York University

  Wall Street and the New Data Paradigm In anticipation of his upcoming conference presentation, Wall Street and the New Data Paradigm at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked...

Wise Practitioner – Predictive Analytics Interview Series: Steve Weiss, at LinkedIn

In anticipation of his upcoming conference presentation, The Sprint for Teaching Data Science: LinkedIn Learning, Analytics and the New Era of Just-In-Time Skills Training at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we...

Wise Practitioner – Predictive Analytics Interview Series: Emilie Lavoie-Charland at The Co-operators

 In anticipation of her upcoming conference presentation, Which Predictive Model Will Best Help Increase Retention? at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Emilie Lavoie-Charland, Research & Innovation Analyst at The...

Wise Practitioner – Predictive Analytics Interview Series: Feyzi Bagirov at Becker College

 In anticipation of his upcoming conference presentation, Acquisition Funnel for Higher Education at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Feyzi Bagirov, Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg...

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