Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Ali-Kazim Zaidi

Ali-Kazim Zaidi
Data Scientist, Microsoft

Ali Zaidi is data scientist in Microsoft’s AI and Research Group, where he spends his day trying to make distributed computing and machine learning in the cloud easier, more efficient, and more enjoyable for data scientists and developers alike. Previously, Ali was a research associate at NERA (National Economic Research Associates), providing statistical expertise on financial risk, securities valuation, and asset pricing. He studied statistics at the University of Toronto and computer science at Stanford University.

Sessions

9:00am–12:30pm Tuesday, March 6, 2018
Using R and Python for scalable data science, machine learning, and AI
Data science and machine learning
 Location: LL21 C/D
Mario Inchiosa (Microsoft), Vanja Paunic (Microsoft), Robert Horton (Microsoft), Debraj GuhaThakurta (Microsoft), Ali-Kazim Zaidi (Microsoft), Tomas Singliar (Microsoft), John-Mark Agosta (Microsoft)
Average rating: ****.
(4.00, 4 ratings)
R and Python top the list of languages used in data science and machine learning, and data scientists and engineers fluent in one of these languages are increasingly marketable. Come learn how to build and operationalize machine learning models using distributed functions and do scalable, end-to-end data science in R and Python on single machines, Spark clusters, and cloud-based infrastructure. Read more.