743.12 MB | 00:05:28 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 introduction-to-the-applied-machine-learning-specialization.mp4 (17.84 MB)
02 instructor-introduction.mp4 (5.8 MB)
03 introduction-to-course-1.mp4 (11.45 MB)
04 what-is-artificial-intelligence-and-machine-learning.mp4 (43.85 MB)
05 what-about-data-science.mp4 (29.33 MB)
06 the-machine-learning-process.mp4 (32.17 MB)
01 the-three-kinds-of-machine-learning.mp4 (21.82 MB)
02 classification-what-is-it-and-how-does-it-work.mp4 (23.1 MB)
03 regression-fitting-lines-and-predicting-numbers.mp4 (22.87 MB)
01 unsupervised-learning.mp4 (17.7 MB)
03 reinforcement-learning.mp4 (33.25 MB)
04 weekly-summary.mp4 (7.62 MB)
01 generalization-and-how-machines-actually-learn.mp4 (37.49 MB)
02 features-and-transformations-of-raw-data.mp4 (39.1 MB)
02 farmer-Betty-and-her-precision-agriculture-plans.mp4 (12.66 MB)
03 what-to-consider-when-using-your-quam.mp4 (13.15 MB)
01 broad-examples-narrowed-down.mp4 (14.73 MB)
02 identify-business-evaluation.mp4 (19.46 MB)
03 everything-is-a-proxy.mp4 (17.46 MB)
05 weekly-summary.mp4 (11.24 MB)
01 sources-of-training-data.mp4 (10.17 MB)
02 how-much-data-do-i-need.mp4 (18.23 MB)
01 ethical-issues.mp4 (20.15 MB)
04 bias-in-data-sources.mp4 (13.13 MB)
05 noise-and-sources-of-randomness.mp4 (24.19 MB)
01 image-classification-example.mp4 (14.52 MB)
02 data-cleaning-everybodys-favourite-task.mp4 (21.27 MB)
03 why-you-need-to-set-up-a-data-pipeline.mp4 (26.85 MB)
04 weekly-summary.mp4 (7.76 MB)
01 mlpl-overview.mp4 (14.8 MB)
03 mlpl-as-experienced-by-farmer-Betty.mp4 (9.49 MB)
01 exploring-the-process-of-problem-definition.mp4 (31.55 MB)
02 assessing-your-quam-for-use-in-your-business.mp4 (29.25 MB)
01 technically-assessing-the-strength-of-your-quam.mp4 (24.08 MB)
02 different-kinds-of-wrong.mp4 (12.01 MB)
03 weekly-summary.mp4 (12.3 MB)
02 instructor-introduction.mp4 (5.8 MB)
03 introduction-to-course-1.mp4 (11.45 MB)
04 what-is-artificial-intelligence-and-machine-learning.mp4 (43.85 MB)
05 what-about-data-science.mp4 (29.33 MB)
06 the-machine-learning-process.mp4 (32.17 MB)
01 the-three-kinds-of-machine-learning.mp4 (21.82 MB)
02 classification-what-is-it-and-how-does-it-work.mp4 (23.1 MB)
03 regression-fitting-lines-and-predicting-numbers.mp4 (22.87 MB)
01 unsupervised-learning.mp4 (17.7 MB)
03 reinforcement-learning.mp4 (33.25 MB)
04 weekly-summary.mp4 (7.62 MB)
01 generalization-and-how-machines-actually-learn.mp4 (37.49 MB)
02 features-and-transformations-of-raw-data.mp4 (39.1 MB)
02 farmer-Betty-and-her-precision-agriculture-plans.mp4 (12.66 MB)
03 what-to-consider-when-using-your-quam.mp4 (13.15 MB)
01 broad-examples-narrowed-down.mp4 (14.73 MB)
02 identify-business-evaluation.mp4 (19.46 MB)
03 everything-is-a-proxy.mp4 (17.46 MB)
05 weekly-summary.mp4 (11.24 MB)
01 sources-of-training-data.mp4 (10.17 MB)
02 how-much-data-do-i-need.mp4 (18.23 MB)
01 ethical-issues.mp4 (20.15 MB)
04 bias-in-data-sources.mp4 (13.13 MB)
05 noise-and-sources-of-randomness.mp4 (24.19 MB)
01 image-classification-example.mp4 (14.52 MB)
02 data-cleaning-everybodys-favourite-task.mp4 (21.27 MB)
03 why-you-need-to-set-up-a-data-pipeline.mp4 (26.85 MB)
04 weekly-summary.mp4 (7.76 MB)
01 mlpl-overview.mp4 (14.8 MB)
03 mlpl-as-experienced-by-farmer-Betty.mp4 (9.49 MB)
01 exploring-the-process-of-problem-definition.mp4 (31.55 MB)
02 assessing-your-quam-for-use-in-your-business.mp4 (29.25 MB)
01 technically-assessing-the-strength-of-your-quam.mp4 (24.08 MB)
02 different-kinds-of-wrong.mp4 (12.01 MB)
03 weekly-summary.mp4 (12.3 MB)
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