Rizwan Habib

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artificial intelligence machine learning nyai new york artificial intelligence ai technology data science big data neural networks deep learning chief digital officer new york music python neuroscience program induction new york university bayesian program learning brenden lake machines iot government entrepreneurship ecosystem digital strategy sree sreenivasan digital media startups tech collaboration customized sound tracks music composition unique music dr. cole d. ingraham amper music data science teams digital reasoning business intelligence matthew russell cognitive computing geometric intelligence robotics generative models reinforcement learning facebook adversarial networks generative image models unsupervised learning open source instrument recognition structure analysis librosa information retrieval statistical music audio analysis science brain visualization janelia research algorithms source code saas data ufora artificial intelligence applications pyfora programming algorithmic statistics columbia university analytics daniel hsu scikit learn andreas mueller image recognition api clarfiai

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Rizwan Habib

Präsentationen

NYAI - Intersection of neuroscience and deep learning by Russell Hanson

NYAI - Visualizing what makes neural networks actually work by Matthew Zeiler

NYAI - Commodity Machine Learning & Beyond by Andreas Mueller

NYAI - Interactive Machine Learning by Daniel Hsu

NYAI - Scaling Machine Learning Applications by Braxton McKee

NYAI - Understanding Music Through Machine Learning by Brian McFee

NYAI - A Path To Unsupervised Learning Through Adversarial Networks by Soumith Chintala

NYAI #5 - Fun With Neural Nets by Jason Yosinski

NYAI #7 - Using Data Science to Operationalize Machine Learning by Matthew Russell

NYAI #7 - Top-down vs. Bottom-up Computational Creativity by Dr. Cole D. Ingraham

NYAI #8 - HOLIDAY PARTY + NYC AI OVERVIEW with NYC's Chief Digital Officer Sree S.

NYAI #9: Concepts and Questions As Programs by Brenden Lake