Ready for a glimpse into the future of work with modern AI?
@NYUStern Profs @FakeFoster Provost and @JoaoSedoc put a Data Science chatbot (ChatDS) through a detailed interview for a data science job during a recent live event.
https://t.co/ZM1vSzhBYC #datascience#ai
@scholar_site @Verizon@ATT@Spotify@Citi I've designed this cohort for PMs, EMs, and entrepreneurs who want to develop ML-based products/services. ALSO many experienced Data Scientists tell me that this stuff is valuable because they were not taught these practical, less technical things.
Join me!
Join our newest cohort on Driving Business Impact with Machine Learning led by NYU Professor Foster Provost 💻
@FakeFoster has led and co-led high impact ML projects at companies like @Verizon, @ATT, @Spotify and @Citi
https://t.co/ZVdXcFO0sj
"Complex harmonies, captivating melodies, and poetic lyrics meld...to create a distinctive 'then is now' sound." -- Wonderful new music, catchy, a bit melancholy, full of life! Have a listen! Album art image from Melancholia IV, Caterina Provost-Smith Paintings
Music for #DataScientists? Music by Data Scientists? …What…?!
Introducing Mean Reversion, an NYC-based songwriting duo comprising of data scientist Foster Provost @FakeFoster and statistician Cliff Hurvich.
https://t.co/mN5H3XGzqG
Over the last decade, I have often inflicted Mean Reversion's one-of-a-kind music on friends. My absolute favorite in their first album is now available for streaming as a single: https://t.co/g3vWT7VxPN @MeanRevMusic
Agreed. I normally have the students in my PhD seminar read it, and I've had students come back years later and tell me it is one of the papers they remembered the most.
A little-known paper explaining how the multiple comparisons problem underlies several important #datascience problems. This should be a fundamental paper in DS. https://t.co/ZNW7q1kk30
Comprehensive data science case study focused on choosing peer-to-peer loan investments (think: machine learning for Lending Club) just published: https://t.co/mTJE0DM7ok (incl. Jupyter notebooks--see the case).
Hope it's helpful for teaching and learning!
Indeed. Started working on a causal chapter for V2 a while back, but the world needs a whole volume: Causal Data Science for Business... https://t.co/iCfzS6OyNA