Chris Hammerschmidt

21 Followers

data science machine learning conference artificial intelligence dfir incident response cybersecurity cyber security papers we like data science meetup luxembourg tutorial introduction generative adversarial networks

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Generative Adversarial Networks (GANs) at the Data Science Meetup Luxembourg (papers we like session)

Vor 5 Jahren • 233 Aufrufe

Machine Learning for (DF)IR with Velociraptor: From Setting Expectations to a Case Study

Vor 1 Jahr • 77 Aufrufe

Machine Learning for (DF)IR with Velociraptor: From Setting Expectations to a Case Study

Chris Hammerschmidt • Vor 1 Jahr

State of AI Report 2019

State of AI Report • Vor 4 Jahren

KPN Ventures research series: cyber security investment landscape

Herman Kienhuis • Vor 5 Jahren

Consulting Company Valuation Model

Tony Rice • Vor 14 Jahren

NIPS 2016, Tensor-Learn@NIPS, and IEEE ICDM 2016

Dmitrii Ignatov • Vor 7 Jahren

Text classification in scikit-learn

Jimmy Lai • Vor 10 Jahren

"Optimal Learning for Fun and Profit" by Scott Clark (Presented at The Yelp Engineering Open House 11/20/13)

Yelp Engineering • Vor 10 Jahren

Big Data At Spotify

Adam Kawa • Vor 10 Jahren

Music Recommendations at Scale with Spark

Chris Johnson • Vor 9 Jahren

Algorithmic Music Recommendations at Spotify

Chris Johnson • Vor 10 Jahren

Scala - The Simple Parts, SFScala presentation

Martin Odersky • Vor 9 Jahren

Functional Reactive Programming in Clojurescript

Leonardo Borges • Vor 10 Jahren

25 Entrepreneurs Tell What They Wished They’d Known before Founding Their First Startup

Rejoiner • Vor 10 Jahren

The Marketing Perspective Panel: Innovative Pricing & Packaging Strategies

Zuora, Inc. • Vor 10 Jahren

Chris Hammerschmidt

Präsentationen

Generative Adversarial Networks (GANs) at the Data Science Meetup Luxembourg (papers we like session)

Machine Learning for (DF)IR with Velociraptor: From Setting Expectations to a Case Study

Gefällt mir

Machine Learning for (DF)IR with Velociraptor: From Setting Expectations to a Case Study

State of AI Report 2019

KPN Ventures research series: cyber security investment landscape

Consulting Company Valuation Model

NIPS 2016, Tensor-Learn@NIPS, and IEEE ICDM 2016

Text classification in scikit-learn

"Optimal Learning for Fun and Profit" by Scott Clark (Presented at The Yelp Engineering Open House 11/20/13)

Big Data At Spotify

Music Recommendations at Scale with Spark

Algorithmic Music Recommendations at Spotify

Scala - The Simple Parts, SFScala presentation

Functional Reactive Programming in Clojurescript

25 Entrepreneurs Tell What They Wished They’d Known before Founding Their First Startup

The Marketing Perspective Panel: Innovative Pricing & Packaging Strategies