Coursera - Probability & Statistics for Machine Learning & Data Science

Files Included :

01 course-introduction.mp4 (33.59 MB)
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04 what-is-probability.mp4 (13.21 MB)
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05 what-is-probability-dice-example.mp4 (1.78 MB)
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07 complement-of-probability.mp4 (8.23 MB)
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08 sum-of-probabilities-disjoint-events.mp4 (11.67 MB)
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09 sum-of-probabilities-joint-events.mp4 (18.62 MB)
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10 independence.mp4 (16.28 MB)
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11 birthday-problem.mp4 (9.9 MB)
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12 conditional-probability-part-1.mp4 (16.89 MB)
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13 conditional-probability-part-2.mp4 (11.88 MB)
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14 bayes-theorem-intuition.mp4 (12.92 MB)
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15 bayes-theorem-mathematical-formula.mp4 (8.82 MB)
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16 bayes-theorem-spam-example.mp4 (7.71 MB)
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17 bayes-theorem-prior-and-posterior.mp4 (3.68 MB)
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18 bayes-theorem-the-naive-bayes-model.mp4 (7.77 MB)
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19 probability-in-machine-learning.mp4 (17.16 MB)
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01 random-variables.mp4 (13.92 MB)
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02 probability-distributions-discrete.mp4 (8.37 MB)
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03 binomial-distribution.mp4 (12.71 MB)
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04 optional-binomial-coefficient.mp4 (7.85 MB)
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05 bernoulli-distribution.mp4 (1.9 MB)
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06 probability-distributions-continuous.mp4 (12.14 MB)
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07 probability-density-function.mp4 (11.87 MB)
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08 cumulative-distribution-function.mp4 (13.1 MB)
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10 uniform-distribution.mp4 (10.14 MB)
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11 normal-distribution.mp4 (12.22 MB)
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12 optional-chi-squared-distribution.mp4 (4.77 MB)
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13 sampling-from-a-distribution.mp4 (7.98 MB)
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14 week-1-conclusion.mp4 (2.39 MB)
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01 measures-of-central-tendency.mp4 (16.92 MB)
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02 expected-value.mp4 (11.36 MB)
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03 expected-value-of-a-function.mp4 (3.98 MB)
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04 sum-of-expectations.mp4 (10.58 MB)
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05 variance.mp4 (17.56 MB)
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06 standard-deviation.mp4 (8.17 MB)
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07 sum-of-gaussians.mp4 (4.24 MB)
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08 standardizing-a-distribution.mp4 (4.6 MB)
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10 skewness-and-kurtosis-moments-of-a-distribution.mp4 (3.94 MB)
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11 skewness-and-kurtosis-skewness.mp4 (11 MB)
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12 skewness-and-kurtosis-kurtosis.mp4 (8.79 MB)
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13 quantiles-and-box-plots.mp4 (5.85 MB)
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14 visualizing-data-box-plots.mp4 (4.56 MB)
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15 visualizing-data-kernel-density-estimation.mp4 (3.58 MB)
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16 visualizing-data-violin-plots.mp4 (1 MB)
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17 visualizing-data-qq-plots.mp4 (2.74 MB)
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05 conditional-distribution.mp4 (7.91 MB)
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06 covariance-of-a-dataset.mp4 (16.94 MB)
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08 covariance-matrix.mp4 (4.63 MB)
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09 correlation-coefficient.mp4 (6.93 MB)
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11 week-2-conclusion.mp4 (2.87 MB)
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01 population-and-sample.mp4 (17.06 MB)
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02 sample-mean.mp4 (8.52 MB)
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03 sample-proportion.mp4 (2.74 MB)
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04 sample-variance.mp4 (8.72 MB)
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05 law-of-large-numbers.mp4 (8.88 MB)
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06 central-limit-theorem-discrete-random-variable.mp4 (8.61 MB)
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07 central-limit-theorem-continuous-random-variable.mp4 (11.14 MB)
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01 point-estimation.mp4 (6.36 MB)
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02 maximum-likelihood-estimation-motivation.mp4 (7.2 MB)
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03 mle-bernoulli-example.mp4 (8.72 MB)
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04 mle-gaussian-example.mp4 (8.93 MB)
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07 mle-linear-regression.mp4 (8.46 MB)
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08 regularization.mp4 (4.6 MB)
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09 back-to-bayesics.mp4 (4.27 MB)
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11 relationship-between-map-mle-and-regularization.mp4 (9.8 MB)
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12 week-3-conclusion.mp4 (3.05 MB)
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01 z-distribution.mp4 (20.43 MB)
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02 margin-of-error.mp4 (3.26 MB)
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04 calculation-steps.mp4 (1.63 MB)
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05 confidence-interval-example.mp4 (5.76 MB)
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06 calculating-sample-size.mp4 (4.34 MB)
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07 difference-between-confidence-and-probability.mp4 (3.12 MB)
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08 unknown-standard-deviation.mp4 (9.06 MB)
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09 confidence-intervals-for-proportion.mp4 (5.61 MB)
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01 defining-hypothesis.mp4 (6.81 MB)
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02 type-i-and-type-ii-errors.mp4 (6.38 MB)
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03 right-tailed-left-tailed-and-two-tailed-tests.mp4 (14.21 MB)
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04 p-value.mp4 (12.93 MB)
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05 critical-values.mp4 (7.34 MB)
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06 power-of-a-test.mp4 (8.76 MB)
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07 interpreting-results.mp4 (4.91 MB)
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08 t-distribution.mp4 (5.44 MB)
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09 t-tests.mp4 (5.59 MB)
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11 two-sample-t-test.mp4 (12.64 MB)
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13 paired-t-test.mp4 (7.64 MB)
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14 ml-application-a-b-testing.mp4 (13.96 MB)
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15 week-4-conclusion.mp4 (3.35 MB)
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