cogs118a ols

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1. 1▶Lecture 10 COGS118A Artificial Neural NetworksUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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2. 2▶Lecture 9 COGS118A Gradient descentUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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3. 3▶Lecture 8 COGS118A Error metricsUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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4. 4▶Lecture 6 COGS118A Optimization and convexityUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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5. 5▶Lecture 7 COGS118A More regressionUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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6. 6▶Lecture 5 COGS118A Decision boundariesUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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7. 7▶Lecture 1 COGS118A Introduction to Machine LearningUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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8. 8▶Lecture 4 COGS118A Data splittingUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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9. 9▶Lecture 2c COGS118A Vector calculusUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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10. 10▶Lecture 3b COGS118A OLS demoUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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11. 11▶Lecture 2b COGS118A Feature representation demoUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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12. 12▶Lecture 3a COGS118A OLS linear regressionUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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13. 13▶Lecture 0b COVID19 infoUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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14. 14▶Lecture 2a COGS118A Linear algebraUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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15. 15▶Lecture 0 - Introduction to your professorUCSD COGS 118A - Supervised Machine Learning (Fall 2020)Notes
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