The latest machine learning, A.I., and data career topics from across both academia and industry are
This week, I provide a short but important bit of advice on failure.Additional materials: www.superd
Sadie St. Lawrence talks in-depth about her extensive work as a data science educator through both o
In this episode, I finish up my saga into the effects of caffeine on productivity.Additional materia
Chrys Wu joins us to discuss her community organizations, her tips, and her recommended resources fo
In this episode, I dive into the nuts and bolts of data on my experiment into caffeine and productiv
Denis Rothman joins us to discuss his writing work in natural language processing, explainable AI, a
I dive into a personal experiment to test my productivity relative to my coffee intake and if caffei
Drew Conway joins us on the first live podcast to discuss his work in private investing and how data
In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and
Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that
In this episode, I discuss an interesting bit of my grandmother’s view about the process of working
Rob Trangucci joins us to discuss his work and study in Bayesian statistics and how he applies it to
In this episode, I continue with last week’s theme and discuss the differences between supervised an
Hadelin de Ponteves joins us to discuss his latest educational work and how his skills as a data sci
In this episode, I give a quick introduction to subcategories of supervised learning problems.Additi
Pieter Abbeel joins us to discuss his work as an academic and entrepreneur in the field of AI roboti
In this episode, I explore a common issue plaguing people across fields: imposter syndrome.Additiona
Jared Lander joins us to discuss his work as an R meetup organizer, the upcoming virtual R Conferenc
In this very special episode, we delve into a live yoga Nidra practice with Jes Allen and go over ho
Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies ca
