#2 I. Supervised Learning (2) | Mathematical and Information Sciences VII | UTokyo Channel

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Content

Arts and Sciences

Mathematical and Information Sciences VII

#2 | I. Supervised Learning (2)

Chapter

線形回帰の最小二乗法

00:05

正則化と過学習

34:05

ティコノフ正則化

36:54

イワノフ正則化

43:43

過学習

59:55

Arts and Sciences

Mathematical and Information Sciences VII

#2 | I. Supervised Learning (2)

1:33

Available for Audio-Only Listening

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#AI & Information Science

#データ分析

#Official UTokyo Courses (OCW)

#Arts and Sciences

Lecturer

Shin Matsushima

Graduate School of Information Science and Technology

※Affiliations and positions are as of the time of recording.

Chapter

線形回帰の最小二乗法

00:05

正則化と過学習

34:05

ティコノフ正則化

36:54

イワノフ正則化

43:43

過学習

59:55

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

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HOME
Mathematical and Information Sciences VII
#2 I. Supervised Learning (2)

Chapter

線形回帰の最小二乗法

00:05

正則化と過学習

34:05

ティコノフ正則化

36:54

イワノフ正則化

43:43

過学習

59:55

Mathematical and Information Sciences VII

Content List

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

#1 I. Supervised Learning (1)

#2 I. Supervised Learning (2)

#3 I. Supervised Learning (3)

#4 I. Supervised Learning (4)

#5 I. Supervised Learning (5)・II. Unsupervised Learning(1)

#6 II. Unsupervised Learning (2)

#7 II. Unsupervised Learning (3)

#8 III. Stochastic Treatment (1)

#9 III. Stochastic Treatment (2)

#10 III. Stochastic Treatment (3)

#11 IV. Optimization Methods (1)

#12 IV. Optimization Methods (2)

Related Content

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Closing remarks

Japan-Denmark workshop on quantum technology

Closing remarks

The Hacker Spectrum [EN]

Special Lecture by Parisa Tabriz

The Hacker Spectrum [EN]

Strategy Edition [EN]

Information Security Education

Strategy Edition [EN]

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Academic Frontier Lecture Series

#8 The Personal Voice in What it is To Be Classical: The Essay As From And Content in World Literature

Closing remarks

Japan-Denmark workshop on quantum technology

Closing remarks

The Hacker Spectrum [EN]

Special Lecture by Parisa Tabriz

The Hacker Spectrum [EN]

Strategy Edition [EN]

Information Security Education

Strategy Edition [EN]

Seminar - Career Development in IFIs

Multilateral Financial Institutions: Rules and Practice

#12 Seminar - Career Development in IFIs

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