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AI Superstream - Efficient Machine Learning

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AI Superstream - Efficient Machine Learning (Size: 2.6 GB)
  001-INTRODUCTION_AND_JESSY.MP4 6.7 MB
  001-INTRODUCTION_AND_JESSY.SRT 27.4 KB
  001-INTRODUCTION_AND_J_002.SRT 26.4 KB
  001-INTRODUCTION_AND_J_003.SRT 28.9 KB
  001-INTRODUCTION_AND_J_004.SRT 31.7 KB
  001-INTRODUCTION_AND_J_005.SRT 27.9 KB
  001-INTRODUCTION_AND_J_006.SRT 23.5 KB
  001-INTRODUCTION_AND_J_007.SRT 25 KB
  001-INTRODUCTION_AND_J_008.SRT 23.6 KB
  002-MICHAEL_HOUSTON-ENERGY.MP4 11.9 MB
  002-MICHAEL_HOUSTON-ENERGY.SRT 48.5 KB
  002-MICHAEL_HOUSTON-EN_002.SRT 51.5 KB
  002-MICHAEL_HOUSTON-EN_003.SRT 48.7 KB
  002-MICHAEL_HOUSTON-EN_004.SRT 51.1 KB
  002-MICHAEL_HOUSTON-EN_005.SRT 58.2 KB
  002-MICHAEL_HOUSTON-EN_006.SRT 44.2 KB
  002-MICHAEL_HOUSTON-EN_007.SRT 42.8 KB
  002-MICHAEL_HOUSTON-EN_008.SRT 42.8 KB
  003-MEENA_ARUNACHALAM-PERF.MP4 13.7 MB
  003-MEENA_ARUNACHALAM-PERF.SRT 52.4 KB
  003-MEENA_ARUNACHALAM-_002.SRT 59.7 KB
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  003-MEENA_ARUNACHALAM-_007.SRT 50.4 KB
  003-MEENA_ARUNACHALAM-_008.SRT 43.3 KB
  004-XIN_LI-OPTIMIZE_DEEP_L.MP4 10.6 MB
  004-XIN_LI-OPTIMIZE_DEEP_L.SRT 38.5 KB
  004-XIN_LI-OPTIMIZE_DE_002.SRT 39.4 KB
  004-XIN_LI-OPTIMIZE_DE_003.SRT 32.8 KB
  004-XIN_LI-OPTIMIZE_DE_004.SRT 38.6 KB
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  004-XIN_LI-OPTIMIZE_DE_006.SRT 46.2 KB
  004-XIN_LI-OPTIMIZE_DE_007.SRT 40.3 KB
  004-XIN_LI-OPTIMIZE_DE_008.SRT 32.9 KB
  005-MARYAM_MEHRI_DEHNAVI-B.MP4 11.6 MB
  005-MARYAM_MEHRI_DEHNAVI-B.SRT 41 KB
  005-MARYAM_MEHRI_DEHNA_002.SRT 40.6 KB
  005-MARYAM_MEHRI_DEHNA_003.SRT 41.8 KB
  005-MARYAM_MEHRI_DEHNA_004.SRT 35 KB
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  005-MARYAM_MEHRI_DEHNA_006.SRT 42.5 KB
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  005-MARYAM_MEHRI_DEHNA_008.SRT 46.8 KB
  006-MOTY_FANIA-BEST_PRACTI.MP4 11.6 MB
  006-MOTY_FANIA-BEST_PRACTI.SRT 42.2 KB
  006-MOTY_FANIA-BEST_PR_002.SRT 43.5 KB
  006-MOTY_FANIA-BEST_PR_003.SRT 41 KB
  006-MOTY_FANIA-BEST_PR_004.SRT 35.9 KB
  006-MOTY_FANIA-BEST_PR_005.SRT 35.9 KB
  006-MOTY_FANIA-BEST_PR_006.SRT 42.8 KB
  006-MOTY_FANIA-BEST_PR_007.SRT 48.8 KB
  006-MOTY_FANIA-BEST_PR_008.SRT 38.8 KB
  007-ALISHBA_IMRAN_COMPUTAT.MP4 11.4 MB
  007-ALISHBA_IMRAN_COMPUTAT.SRT 48.9 KB
  007-ALISHBA_IMRAN_COMP_002.SRT 48 KB
  007-ALISHBA_IMRAN_COMP_003.SRT 48.3 KB
  007-ALISHBA_IMRAN_COMP_004.SRT 54.3 KB
  007-ALISHBA_IMRAN_COMP_005.SRT 44.4 KB
  007-ALISHBA_IMRAN_COMP_006.SRT 50.2 KB
  007-ALISHBA_IMRAN_COMP_007.SRT 40.4 KB
  007-ALISHBA_IMRAN_COMP_008.SRT 40.4 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 72 total files

Description


AI Superstream: Efficient Machine Learning
https://CourseHulu.com

Instructors: Shingai Manjengwa, ...
February 2022 | Duration: 3h 12m
Video: MP4 1920x1080 48 KHz | English
Size: 2.6 GB

Sponsored by Intel

Machine learning has grown significantly, and with it the footprint of ML models—which can make training, deploying, and monitoring difficult and expensive. What if you could make your ML models and systems more efficient, whether in the form of cost, compute, storage, latency, or carbon footprint? Join us for this Superstream where experts dive into techniques for using fewer resources and delivering better quality.

About the AI Superstream Series: This three-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results.

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