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Tag: Resources

Three  Traits That Make Women Perfect Leaders in STEM
Lack of women in leadership roles is a global phenomenon, and particularly in areas like STEM. Here is a snapshot on the global scenario and qualities that make women phenomenal leaders. “Wait, gender inequality is still around?” Believe it or not, this is the question I received from my The …
AI and the Emerging Crisis of Trust
In this guest article, Doug Bordonaro, Chief Data Evangelist at ThoughtSpot, explores the role trust plays in adoption of AI in the home, our jobs and beyond.
Top 20 Python AI and Machine Learning Open Source Projects
Use these open source projects to get started with machine learning and artificial intelligence today.
Data Science Project Style Guide
We've been building guided projects for three years — here is what we've learned, and tips that will help you in your job hunt.
Four Tips To Plug Into the Data Community
Artificial intelligence, machine learning, big data, financial technology, and various connected devices are evolving the data-tech game on a day-to-day basis. Data enthusiasts are integrating into local communities on a world-wide scale to discuss and keep up with the fast pace of data-driven technologies. Here are four tips on how …
Summer of Data Science Goal-Setting
The purpose of the Summer of Data Science is to learn a specific topic or complete a specific project or read a book or finish a course so you can check something off of your long data science “to learn” list, and have fun achieving goals along with other data …
Summer of Data Science 2018 #SoDS18 Launch Day!
The main goal of the Summer of Data Science is to learn something new during a fixed period of time, and share your progress and references to help and inspire others (and to get help from and get inspired by others, too!).
What's New in Dataquest v1.85: Takeaways, Intermediate R, and More
In this post, we give you a quick overview of what we've released recently, and what's coming up.
Can a Machine Be Racist or Sexist?
I presented a talk with this title at the Applied Machine Learning Conference at Tom Tom Fest in Charlottesville (which I also helped plan) last Thursday April 12, 2018. My interest in this topic started long ago, and I partially based this talk off of my blog post "A Challenge …
Podcast Listens Analysis
I’ve been telling everyone that I’d do something “data fun” when I hit 20K Twitter followers, so I posted an analysis of my podcast listeners! I used python and pandas in a Jupyter notebook for the first part, then I did a dashboard in Tableau for the last part.
Hi #DemystifyDS Attendees!
I’m assuming that some people who see my talk at Demystifying Data Science conference will be dropping by here, so I wanted to put up a quick post summarizing some of the resources I have made available to data science learners!
2 Quick Announcements
1. Sorry for the issues loading images and with logins on this site. I’ve had problems ever since I had bluehost set me up with HTTPS certificates, and apparently those certificates have expired or something and are causing issues with the images being able to load, etc. I’ll look into …
Introductory Machine Learning Terminology with Food
I was just pondering some ways to discuss machine learning terminology in a way that would be accessible to beginners, and figured I'd share my semi-thought-out ideas here. I'm sure this has been done before, but here are some common machine learning terms couched in the language of cooking and …
Bias in Machine Learning Flipboard Magazine
Quick note for those of you who follow me on Flipboard. I added another one, seeded with links from my Challenge to Data Scientists article, on Bias in Machine Learning. Enjoy!
Becoming a Data Scientist Podcast Episode 16: Randy Olson
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn, about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students. Podcast Audio Links: Link to podcast Episode 16 audio Podcast's RSS feed for …
PyData DC 2016 Talk
I just got back from PydataDC, where I learned a lot, had fun, and met a bunch of awesome people! I’ll definitely write about it more later, but I wanted to share my slides here since I told the attendees they could find them on my website. I got good …
Becoming a Data Scientist Podcast Episode 12: Data Science Learning Club Members
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science …
Becoming a Data Scientist Podcast Episode 10: Trey Causey
Trey Causey is a data scientist with a background in psychology and sociology who, like Renee, is from Virginia. He has worked as a data scientist at a range of companies from zulily to ChefSteps, and has also developed some interesting sports analytics projects, including the New York Times 4th …