The latest machine learning, A.I., and data career topics from across both academia and industry are
Andrew Jones joins us to discuss data science interviews and how you can maximize your chances on in
In this episode, I talk about the advantages of using a continuous calendar.Additional materials: ww
Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, da
In this episode, I go over my top 5 tips for refining your perfect data science resume. Additional m
Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property r
In this episode, I go over my 5 keys to success to tackle any goal.Additional materials: www.superda
Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utili
In this episode, I discuss the amazing benefits of implementing peer-driven learning in your profess
David Langer joins us to discuss his work as a data analytics educator and his beliefs in the use of
In this episode, I discuss the architecture of a “machine learning house”, representing the skills a
Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a pr
In this episode, I share a note I received from a student who expressed his thoughts on the learning
Kirill Eremenko returns to the SDS podcast as a guest to debunk common myths you may believe about g
In this episode, I follow up on the popular book recommendation portion of the podcast with my own l
Konrad Körding joins us to discuss his work in educating the next generation in deep learning and hi
In this episode, I tackle another historical topic: the history of data.Additional materials: www.su
Noah Gift joins us to discuss how he believes data science urgency and the end of hierarchies will c
In this episode, I go over what separates a good data scientist from a great one in skills, practice
Konrad Kopczynski joins us to discuss how data, tracking, analytics, and key performance indicators
In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to