Pandora123Machine Learning學習日記 — Coursera篇 (Week 7.1):Optimization Objective, Large Margin Intuition回目錄:Coursera章節Jul 4, 20162Jul 4, 20162
Pandora123Machine Learning學習日記 — Coursera篇 (Week 6.5):Data for Machine LearningUsing Large Data SetsJun 30, 2016Jun 30, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 6.4):ErrorHandling Skewed DataJun 30, 2016Jun 30, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 6.3):Prioritizing What to Work on, Error AnalysisBuilding a Spam ClassifierJun 8, 2016Jun 8, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 6.2):DiagnosingBias vs. VarianceJun 8, 2016Jun 8, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 6.1):DecidingEvaluating a Learning AlgorithmJun 8, 20161Jun 8, 20161
Pandora123Machine Learning學習日記 — Coursera篇 (Week 5.3):Random Initialization, Putting It TogetherBackPropagation in Practice(下)Jun 7, 20161Jun 7, 20161
Pandora123Machine Learning學習日記 — Coursera篇 (Week 5.2):Unrolling Parameters, Gradient CheckingBackPropagation in Practice(上)Jun 7, 2016Jun 7, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 5.1):CostCost Function and BackPropagationJun 5, 2016Jun 5, 2016
Pandora123Machine Learning學習日記 — Coursera篇 (Week 4.3):Examples and Intuitions, MultiClass classificationApplicationJun 4, 2016Jun 4, 2016