前半
問題一覧
1
reinforcement learning, supervised learning, Unsupervised learning
2
It requires examples of input for the AI models, It required examples of output for the AI models, Human needs to match the input to output to build this type of AI models
3
AI system learns in a simulated or real-time environment, AI system learns based on trial and error
4
Ad ranking, Ad personalization, Ad fraud detection
5
Deep learning is a subset of machine learning, More complex, with many layers of transformations to produce target output, Find patterns and relationships in massive amounts of data, Deep learning AI system can learn based on trial and error
6
text mining sentiment analysis, Google translate, spam filtering systems, Google search, customer call center interactions
7
Natural language processing, Dialog manager, Content presentation
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門間壮宇 · 8問 · 1年前④ＭＩＳ＿ｗｅｅｋ６
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8問 • 1年前③ＭＩＳ＿ｗｅｅｋ５
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門間壮宇 · 8問 · 1年前③ＭＩＳ＿ｗｅｅｋ５
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8問 • 1年前⑤ＭＩＳ＿ｗｅｅｋ７
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門間壮宇 · 8問 · 1年前⑤ＭＩＳ＿ｗｅｅｋ７
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8問 • 1年前⑥ＭＩＳ＿ｗｅｅｋ８
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門間壮宇 · 12問 · 1年前⑥ＭＩＳ＿ｗｅｅｋ８
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12問 • 1年前③ＭＩＳ＿ｗｅｅｋ５
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門間壮宇 · 8問 · 1年前③ＭＩＳ＿ｗｅｅｋ５
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8問 • 1年前④ＭＩＳ＿ｗｅｅｋ６
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門間壮宇 · 8問 · 1年前④ＭＩＳ＿ｗｅｅｋ６
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8問 • 1年前⑤ＭＩＳ＿ｗｅｅｋ７
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門間壮宇 · 8問 · 1年前⑤ＭＩＳ＿ｗｅｅｋ７
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8問 • 1年前⑥ＭＩＳ＿ｗｅｅｋ８
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門間壮宇 · 12問 · 1年前⑥ＭＩＳ＿ｗｅｅｋ８
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12問 • 1年前Google問題まとめ
Google問題まとめ
門間壮宇 · 30問 · 1年前Google問題まとめ
Google問題まとめ
30問 • 1年前1~10
1~10
門間壮宇 · 10問 · 1年前1~10
1~10
10問 • 1年前11~20
11~20
門間壮宇 · 10問 · 1年前11~20
11~20
10問 • 1年前21~30
21~30
門間壮宇 · 10問 · 1年前21~30
21~30
10問 • 1年前前半
前半
門間壮宇 · 7問 · 1年前前半
前半
7問 • 1年前後半
後半
門間壮宇 · 7問 · 1年前後半
後半
7問 • 1年前コウハン
コウハン
門間壮宇 · 7問 · 1年前コウハン
コウハン
7問 • 1年前Final Test Global Cities and Social Spaces
Final Test Global Cities and Social Spaces
門間壮宇 · 12問 · 1年前Final Test Global Cities and Social Spaces
Final Test Global Cities and Social Spaces
12問 • 1年前For Software Engineer
For Software Engineer
門間壮宇 · 10問 · 1年前For Software Engineer
For Software Engineer
10問 • 1年前問題一覧
1
reinforcement learning, supervised learning, Unsupervised learning
2
It requires examples of input for the AI models, It required examples of output for the AI models, Human needs to match the input to output to build this type of AI models
3
AI system learns in a simulated or real-time environment, AI system learns based on trial and error
4
Ad ranking, Ad personalization, Ad fraud detection
5
Deep learning is a subset of machine learning, More complex, with many layers of transformations to produce target output, Find patterns and relationships in massive amounts of data, Deep learning AI system can learn based on trial and error
6
text mining sentiment analysis, Google translate, spam filtering systems, Google search, customer call center interactions
7
Natural language processing, Dialog manager, Content presentation