머신러닝

1.[머신러닝] Lecture 01 Introduction

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2.[머신러닝] Lecture 02 Linear regression with one variable

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3.[머신러닝] Lecture 03 Linear Algebra review

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4.[머신러닝] Lecture 04 Linear Regression with multiple variables

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5.[머신러닝] Lecture 06 Logistic Regression

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6.[머신러닝] Lecture 07 Regularization

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7.[머신러닝] Lecture 08 Neural Networks Representation

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8.[머신러닝] Lecture 09 Neural Networks Learning

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9.[머신러닝] Lecture 10 Advice for applying machine learning

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10.[머신러닝] Lecture 11 Machine learning system design

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11.[머신러닝] Lecture 12 Support Vector Machines

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12.[머신러닝] Lecture 13 Clustering

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13.[머신러닝] Lecture 14 Dimensionality Reduction

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14.[머신러닝] Lecture 15 Anomaly Detection

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15.[머신러닝] Lecture 16 Recommender Systems

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16.[머신러닝] Lecture 17 Large Scale Machine Learning

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17.[머신러닝] Lecture 18 Application Example Photo OCR

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18.[머신러닝] Lecture 19 Summary and Thank you

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