Amil - Machine Learning Algorithms in The Real World Specialization

Files Included :

01 introduction-to-the-course.mp4 (7.86 MB)
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03 business-understanding-and-problem-discovery.mp4 (49.03 MB)
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04 no-free-lunch-theorem.mp4 (13.78 MB)
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05 exploring-the-process-of-problem-definition.mp4 (31.55 MB)
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01 data-acquisition-and-understanding.mp4 (42.01 MB)
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02 metadata-matters.mp4 (21.77 MB)
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03 dealing-with-multimodal-data.mp4 (13.17 MB)
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04 features-and-transformations-of-raw-data.mp4 (39.1 MB)
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01 identifying-data-from-problem.mp4 (18.35 MB)
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02 case-study-problem-from-data.mp4 (24.97 MB)
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04 weekly-summary-what-does-good-data-look-like.mp4 (23.3 MB)
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01 data-warehousing.mp4 (40.3 MB)
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02 converting-to-useful-forms.mp4 (18.94 MB)
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03 data-quality.mp4 (10.67 MB)
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04 how-much-data-do-i-need.mp4 (18.23 MB)
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01 everything-has-to-be-numbers.mp4 (31.83 MB)
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02 types-of-data.mp4 (23.2 MB)
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03 aligning-similar-data.mp4 (18.65 MB)
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01 imputing-missing-values.mp4 (17.34 MB)
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02 data-transformations.mp4 (23.59 MB)
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03 weekly-summary-preparing-your-data-for-machine-learning-success.mp4 (9.46 MB)
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04 data-cleaning-everybodys-favourite-task.mp4 (21.27 MB)
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01 what-are-the-simplest-features-to-try.mp4 (33.07 MB)
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02 useful-useless-features.mp4 (13.2 MB)
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03 how-many-features.mp4 (21.05 MB)
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01 what-is-unsupervised-learning.mp4 (17.58 MB)
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02 feature-selection.mp4 (29.59 MB)
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03 feature-extraction.mp4 (7.46 MB)
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01 transfer-learning.mp4 (36.69 MB)
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03 weekly-summary-feature-engineering-for-more-fun-profit.mp4 (9.76 MB)
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01 imbalanced-data.mp4 (21.51 MB)
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02 generalization-and-how-machines-actually-learn.mp4 (37.49 MB)
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03 bias-in-data-sources.mp4 (13.13 MB)
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04 bias-and-variance-tradeoff.mp4 (24.19 MB)
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01 outliers.mp4 (21.27 MB)
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02 skewed-distributions.mp4 (31.21 MB)
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01 badness-multipliers.mp4 (13.25 MB)
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02 live-data-danger.mp4 (32.97 MB)
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03 weekly-summary-bad-data.mp4 (6.69 MB)
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01 introduction-to-the-applied-machine-learning-specialization.mp4 (17.84 MB)
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02 instructor-introduction.mp4 (5.8 MB)
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03 introduction-to-course-1.mp4 (11.45 MB)
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04 what-is-artificial-intelligence-and-machine-learning.mp4 (43.85 MB)
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05 what-about-data-science.mp4 (29.33 MB)
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06 the-machine-learning-process.mp4 (32.17 MB)
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01 the-three-kinds-of-machine-learning.mp4 (21.82 MB)
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02 classification-what-is-it-and-how-does-it-work.mp4 (23.1 MB)
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03 regression-fitting-lines-and-predicting-numbers.mp4 (22.87 MB)
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01 unsupervised-learning.mp4 (17.7 MB)
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03 reinforcement-learning.mp4 (33.25 MB)
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04 weekly-summary.mp4 (7.62 MB)
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01 generalization-and-how-machines-actually-learn.mp4 (37.49 MB)
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02 features-and-transformations-of-raw-data.mp4 (39.1 MB)
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02 farmer-betty-and-her-precision-agriculture-plans.mp4 (12.66 MB)
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03 what-to-consider-when-using-your-quam.mp4 (13.15 MB)
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01 broad-examples-narrowed-down.mp4 (14.73 MB)
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02 identify-business-evaluation.mp4 (19.46 MB)
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03 everything-is-a-proxy.mp4 (17.46 MB)
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05 weekly-summary.mp4 (11.24 MB)
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01 sources-of-training-data.mp4 (10.17 MB)
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02 how-much-data-do-i-need.mp4 (18.23 MB)
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01 ethical-issues.mp4 (20.15 MB)
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04 bias-in-data-sources.mp4 (13.13 MB)
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05 noise-and-sources-of-randomness.mp4 (24.19 MB)
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01 image-classification-example.mp4 (14.52 MB)
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02 data-cleaning-everybodys-favourite-task.mp4 (21.27 MB)
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03 why-you-need-to-set-up-a-data-pipeline.mp4 (26.85 MB)
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04 weekly-summary.mp4 (7.76 MB)
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01 mlpl-overview.mp4 (14.8 MB)
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03 mlpl-as-experienced-by-farmer-betty.mp4 (9.49 MB)
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01 exploring-the-process-of-problem-definition.mp4 (31.55 MB)
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02 assessing-your-quam-for-use-in-your-business.mp4 (29.25 MB)
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01 technically-assessing-the-strength-of-your-quam.mp4 (24.08 MB)
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02 different-kinds-of-wrong.mp4 (12.01 MB)
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03 weekly-summary.mp4 (12.3 MB)
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02 introduction-to-the-course.mp4 (9.13 MB)
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03 what-does-a-classifier-actually-do.mp4 (22.12 MB)
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04 classification-in-scikit-learn.mp4 (12.09 MB)
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01 what-are-decision-trees.mp4 (21.99 MB)
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02 generalization-and-overfitting.mp4 (29.46 MB)
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01 classification-using-k-nearest-neighbours.mp4 (33.1 MB)
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02 distance-measures.mp4 (36.74 MB)
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04 weekly-summary.mp4 (11.53 MB)
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01 line-fitting.mp4 (19.15 MB)
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02 optimal-line-fitting.mp4 (22.89 MB)
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03 loss-and-convexity.mp4 (19.64 MB)
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04 gradient-descent.mp4 (24.82 MB)
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01 nonlinear-features-and-model-complexity.mp4 (23.24 MB)
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02 bias-and-variance-tradeoff.mp4 (24.19 MB)
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03 regularizers.mp4 (22.87 MB)
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01 loss-for-classification.mp4 (23.6 MB)
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02 weekly-summary.mp4 (14.28 MB)
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01 logistic-regression.mp4 (11.31 MB)
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02 neural-networks.mp4 (32.74 MB)
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01 hinge-loss.mp4 (16.93 MB)
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02 basics-of-support-vector-machines.mp4 (26.58 MB)
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01 kernels.mp4 (24.74 MB)
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02 weekly-summary.mp4 (9.53 MB)
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01 regression-assessment.mp4 (11.56 MB)
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02 classification-assessment.mp4 (12.42 MB)
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03 learning-curves.mp4 (20.42 MB)
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01 testing-your-models.mp4 (24.99 MB)
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02 cross-validation.mp4 (14.62 MB)
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01 parameter-tuning-and-grid-search.mp4 (16.42 MB)
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02 model-parameters.mp4 (11.95 MB)
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03 weekly-summary.mp4 (9.22 MB)
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01 introduction-to-the-course.mp4 (11.12 MB)
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02 ml-readiness.mp4 (17.91 MB)
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03 risk-mitigation.mp4 (19.62 MB)
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04 experimental-mindset.mp4 (18.91 MB)
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02 build-buy-partner.mp4 (22.62 MB)
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01 setting-up-a-team.mp4 (17.5 MB)
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02 understanding-and-communicating-change.mp4 (23.66 MB)
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03 weekly-summary.mp4 (14.57 MB)
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01 ai-4-good-for-all.mp4 (22.88 MB)
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02 positive-feedback-loops-negative-feedback-loops.mp4 (28.83 MB)
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01 metric-design-observing-behaviours.mp4 (24.76 MB)
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02 secondary-effects-of-optimization.mp4 (21.38 MB)
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01 regulatory-concerns.mp4 (15.05 MB)
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02 weekly-summary.mp4 (12.81 MB)
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01 integrating-info-systems.mp4 (17.73 MB)
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02 users-break-things.mp4 (18.88 MB)
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03 time-space-complexity-in-production.mp4 (15.92 MB)
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01 when-do-i-retrain-the-model.mp4 (18.23 MB)
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02 logging-ml-model-versioning.mp4 (26.04 MB)
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01 knowledge-transfer.mp4 (17.94 MB)
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02 reporting-performance-to-stakeholders.mp4 (17.06 MB)
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03 weekly-summary.mp4 (10.68 MB)
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01 mlpl-recap.mp4 (22.41 MB)
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02 post-deployment-challenges.mp4 (29.65 MB)
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01 quam-monitoring-and-logging.mp4 (15.6 MB)
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02 quam-testing.mp4 (17.8 MB)
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03 quam-maintenance.mp4 (15.93 MB)
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04 quam-updating.mp4 (17.44 MB)
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01 separating-datastack-from-production.mp4 (19.86 MB)
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02 dashboard-essentials-metrics-monitoring.mp4 (22.46 MB)
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03 weekly-summary.mp4 (10.18 MB)
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