8.8 GB | 00:08:54 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
02 introduction-to-the-ai-ml-algorithms-and-techniques-course.mp4 (197.09 MB)
03 the-importance-of-algorithms-and-techniques-in-your-work.mp4 (316.07 MB)
01 what-is-supervised-learning.mp4 (256.78 MB)
08 compare-implementation-techniques-using-python.mp4 (19.33 MB)
02 use-case-demonstration-of-evaluation-metrics.mp4 (17.77 MB)
05 use-case-demonstration-of-cross-validation-and-multiple-metrics-in-ml.mp4 (20.25 MB)
01 summary-supervised-learning.mp4 (174.79 MB)
01 overview-of-unsupervised-learning.mp4 (114.38 MB)
06 how-to-implement-and-visualize-clustering.mp4 (17.27 MB)
04 use-case-demonstration-of-dimensionality-reduction.mp4 (21.66 MB)
01 overview-of-reinforcement-learning.mp4 (170.6 MB)
01 overview-of-neural-networks.mp4 (168.31 MB)
02 use-case-demonstration-of-fnns-cnns-and-rnns.mp4 (22.31 MB)
01 overview-of-ai-ml-engineering-approaches.mp4 (263.59 MB)
01 the-importance-of-collaboration-in-ai-ml-professions.mp4 (134.7 MB)
01 summary-ai-ml-engineering-and-working-with-models.mp4 (295.24 MB)
03 thank-you-and-congratulations.mp4 (59.84 MB)
02 introduction-to-the-foundations-of-ai-ml-infrastructure.mp4 (128.78 MB)
03 a-day-in-the-life-of-an-ai-ml-engineer.mp4 (133.46 MB)
07 getting-started-with-jupyter-notebooks-in-azure-machine-learning-studio.mp4 (28.61 MB)
01 introduction-to-ai-ml-infrastructure.mp4 (280.74 MB)
02 data-sources-and-pipelines-frameworks-and-platforms.mp4 (243.25 MB)
01 introduction-to-data-sources-and-pipelines.mp4 (208.54 MB)
04 examples-of-data-sources-and-pipelines.mp4 (262.98 MB)
01 introduction-to-deployment-platforms.mp4 (241.71 MB)
02 importance-of-deployment-platforms.mp4 (244 MB)
03 features-and-requirements-for-effective-deployment.mp4 (215.12 MB)
01 summary-ai-ml-applications.mp4 (171.79 MB)
05 industry-exemplar-model-deployment.mp4 (165.4 MB)
01 overview-of-data-sources.mp4 (252.47 MB)
02 methods-for-acquiring-data.mp4 (229.66 MB)
01 importance-of-data-cleaning-and-preprocessing.mp4 (148.92 MB)
01 introduction-to-rag.mp4 (172.16 MB)
03 best-practices-for-maintaining-efficient-data-sources-for-rag.mp4 (195.72 MB)
01 summary-data-management-in-ai-ml.mp4 (205.38 MB)
04 hear-from-an-expert-industry-exemplar.mp4 (183.26 MB)
03 applicability-of-pretrained-llms.mp4 (201.79 MB)
01 summary-selecting-a-framework.mp4 (193.45 MB)
02 introduction-to-microsoft-azure.mp4 (57.11 MB)
01 preparing-models-for-deployment.mp4 (154.16 MB)
01 importance-of-version-control.mp4 (171.2 MB)
03 ensuring-reproducibility.mp4 (178.86 MB)
01 summary-platform-deployment.mp4 (326.47 MB)
01 overview-of-the-ai-ml-engineers-responsibilities.mp4 (240.07 MB)
03 typical-tasks-and-projects.mp4 (269.94 MB)
02 balancing-model-development-deployment-and-maintenance.mp4 (273.83 MB)
01 summary-ai-ml-concepts-in-practice.mp4 (331.58 MB)
01 course-summary.mp4 (267.11 MB)
03 example-pitching-to-the-c-suite.mp4 (284.93 MB)
04 congratulations-on-completing-the-course.mp4 (75.81 MB)]
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