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  1. Arun Kumar is an Associate Professor in the Department of Computer Science and Engineering and the Halicioglu Data Science Institute and an HDSI Faculty Fellow at the University of California, San Diego.

  2. EMPLOYMENT University of California, San Diego. Associate Professor Department of Computer Science and Engineering Halıcıo ̆glu Data Science Institute HDSI Faculty Fellow. Assistant Professor Department of Computer Science and Engineering Halıcıo ̆glu Data Science Institute.

  3. Jan 17, 2023 · This is a lecture-driven course with quizzes, exams, and paper reviewing components for evaluation. It is primarily tailored for MS students, PhD students, and advanced undergraduates interested in the state of the art of systems for scalable data science and ML engineering.

  4. Oct 10, 2022 · A major component of this course is hands-on Python programming to implement data exploration, data preparation, and model selection pipelines on large real-world data using scalable analytics tools and cloud resources, both Amazon Web Services (AWS) public cloud and SDSC's private cloud.

  5. Mar 31, 2022 · Lectures: MWF 4:00-4:50pm PT at WLH 2204 and on Zoom (link on Piazza) Instructor: Arun Kumar. Email: arunkk [at] eng.ucsd.edu. Office Hours: Wed 2:00-3:00pm PT; hybrid: in-person at CSE/EBU3b 3218 and on Zoom (link on Piazza) Discussions: Wed 6:00-6:50pm PT on Zoom only (link on Piazza) Teaching Assistants: Tanay Karve.

  6. ARUN KUMAR Associate Professor in CSE & HDSI I identify as a cisgender gay man Pronouns: He, Him, His Research Area: Data systems for machine learning Chennai, India Summer: 110F Madison, WI Winter: -40F 2009

  7. Oct 3, 2019 · Arun will hold extra office hours on Wednesday, 12/5 from 2pm to 5pm in CSE 4262 and on Thursday, 12/6 from 2pm to 5pm in CSE 3217. Answers for the midterm 2 are available here: questions only and with answers. Course Overview and Content

  8. Dec 26, 2022 · This is a lecture-driven course with quizzes, exams, and paper reviewing components for evaluation. It is primarily tailored for MS students, PhD students, and advanced undergraduates interested in the state of the art of systems for scalable data science and ML engineering.

  9. Arun Kumar. University of California, San Diego. arunkk@eng.ucsd.edu. Deep learning a.k.a deep neural networks (DNNs) are push-ing the state of the art in AI tasks such as image and speech recognition [3]. Leading Web companies are betting big on DNNs.

  10. A major component of this course is hands-on Python programming to implement data exploration, data preparation, and model selection pipelines on large real-world data using scalable analytics tools and cloud resources, both Amazon Web Services (AWS) public cloud and SDSC's private cloud.

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