Applicaton example: Photo OCR Problem description and pipeline Photo OCR pipeline： Text...
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18. Applicaton example: Photo OCR
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16. Recommender Systems
Recommender Systems Problem formulation Content-based recommendations Optimization obje...
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17. Large scale machine learning
Large scale machine learning Learining with large datasets Stochastic gradient descent ...
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15. Anomaly detection
Anomaly detection Problem motivation Gaussian distribution Gaussian distribution: Say ....
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14. Dimensionality Reduction
Dimensionality Reduction Motivation I: Data compression Reduce data from 2D to 1D: Redu...
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Kali从入门到银手镯（三）：利用Metasploit工具的Win7渗透测试现在很多用户还在使用Win7系统，虽然我个人也非常喜欢Win7，也承认这是一款非常经典的系统。但是Win7已经在今年1月份彻底停止了支持，也就是说永远也不会得到安全更新和补丁...
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13. Clustering
Clustering Unsupervised learing introduction K-means algorithm Input: K (number of clus...
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12. Support Vector Machines
Support Vector Machines Optimization objective SVM hypothesis:logistic regression: cost...
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11. Maching learing system design
Maching learing system design Prioritizing what to work on: Spam classification example...
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10. Advice for applying machine learning
Advice for applying machine learning Deciding what to try next Debugging a learining al...
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9. Neural Networks: Learing
Neural Networks: Learing Cost Function L = total number of layers in network = no. of u...
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8. Neural Networks: Representation
Neural Networks: Representation Non-linear hypotheses Neural Networks. Neurons and the ...
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7. Overfitting
Overfitting The Problem of Overfitting undefitting(high bias): The algroithm doesn't fi...
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6. Classification
Classification Logistic Regression: Hypothesis Representation Want Hypothesis: Sigmoid ...
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5. Octave Tutorial(现在一般都用python做)
Octave Tutorial Octave 语法几乎和Matelab一样 一般的数学计算(elementary math operations)与python几乎一样：+、...
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4. Multiple features
Multiple features Multiple features Notation: n = number of features = input (features)...
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