The latest machine learning, A.I., and data career topics from across both academia and industry are
Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she
In this episode, I’m discussing my personal experience with discrimination during a trip at the star
Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during th
Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandem
DJ Patil talks about ethics in data science and the importance of data science communities working t
Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. D
Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices
Today, we’re diving into our fifth and final part of our history of data science series by looking i
Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit
Today, we take some time to discuss the real mental and emotional toll social distancing can take du
Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to g
In the penultimate episode of our history of data science series, we look at 2015 on and watch as da
Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell sto
In this FiveMinuteFriday we take a break from our series on the history of data science to discuss p
I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same
In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom o
I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program
In the second of five episodes in this series, I take a step into the early 2000s and the true boom
Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of s
In this five-episode series, I dive into the history of data science from the beginning of mathemati
