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데니스채널 e01 - 머신러닝 특집 1부

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When? This feed was archived on July 26, 2016 08:16 (8y ago). Last successful fetch was on June 24, 2024 16:08 (3M ago)

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Manage episode 164176556 series 99527
Content provided by 나는 프로그래머다. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by 나는 프로그래머다 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
구글 리서치&머신인텔리전스 그룹에서 소프트웨어 엔지니어로 근무하시는 머신러닝 전문가인 김승연 님을 모시고 머신 러닝의 역사와 특징을 살펴보는 시간을 가졌습니다. 1부: 게스트 소개와 머신러닝의 현재 트랜드에 대해 이야기합니다. 데이터가 적을 때 발생하는 문제들을 해결하는 최신 연구들 앞으로 머신러닝이 널리 사용되었을 때 발생할 수 있는 윤리적 문제들과 해결하기 위한 방법들 머신러닝 시스템이 악의적으로 공격받는다면? 방송관련 링크 TensorFlow Korea: https://www.facebook.com/groups/TensorFlowKR/ Machine learning fairness: http://www.fatml.org/ Generative Adversarial Networks: https://arxiv.org/abs/1406.2661
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115 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on July 26, 2016 08:16 (8y ago). Last successful fetch was on June 24, 2024 16:08 (3M ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 164176556 series 99527
Content provided by 나는 프로그래머다. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by 나는 프로그래머다 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
구글 리서치&머신인텔리전스 그룹에서 소프트웨어 엔지니어로 근무하시는 머신러닝 전문가인 김승연 님을 모시고 머신 러닝의 역사와 특징을 살펴보는 시간을 가졌습니다. 1부: 게스트 소개와 머신러닝의 현재 트랜드에 대해 이야기합니다. 데이터가 적을 때 발생하는 문제들을 해결하는 최신 연구들 앞으로 머신러닝이 널리 사용되었을 때 발생할 수 있는 윤리적 문제들과 해결하기 위한 방법들 머신러닝 시스템이 악의적으로 공격받는다면? 방송관련 링크 TensorFlow Korea: https://www.facebook.com/groups/TensorFlowKR/ Machine learning fairness: http://www.fatml.org/ Generative Adversarial Networks: https://arxiv.org/abs/1406.2661
  continue reading

115 episodes

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