#1 I. Supervised Learning (1) | Mathematical and Information Sciences VII | UTokyo Channel

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Content

Arts and Sciences

Mathematical and Information Sciences VII

#1 | I. Supervised Learning (1)

Chapter

ベクトルと行列の復習

00:05

内積と行列積

10:52

行列の正則性

31:34

線形方程式

34:47

勾配

47:15

線形回帰の最小二乗法

59:34

最小二乗法

1:09:30

Arts and Sciences

Mathematical and Information Sciences VII

#1 | I. Supervised Learning (1)

1:30

Available for Audio-Only Listening

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#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

ベクトルと行列の復習

00:05

内積と行列積

10:52

行列の正則性

31:34

線形方程式

34:47

勾配

47:15

線形回帰の最小二乗法

59:34

最小二乗法

1:09:30

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
#1 I. Supervised Learning (1)

Chapter

ベクトルと行列の復習

00:05

内積と行列積

10:52

行列の正則性

31:34

線形方程式

34:47

勾配

47:15

線形回帰の最小二乗法

59:34

最小二乗法

1:09:30

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

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1-3 What is the "rank" ?

Special Lecture at UTokyo "Linear Algebra"

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Academic Frontier Lecture Series

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Fact-based View of the World: Why Developing vs Developed is Meaningless [Subtitled-EN]

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Fact-based View of the World: Why Developing vs Developed is Meaningless [Subtitled-EN]

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1-3 What is the "rank" ?

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