| 01-cluster_analysis_introduction.mkv | 54.3 MB | ||
| 02-an_easy_introduction_to_k-means_clustering.mkv | 45.1 MB | ||
| 03-k-means_exercise_prompt_1.mkv | 69 MB | ||
| 04-k-means_exercise_solution_1.mkv | 68.6 MB | ||
| 05-k-means_exercise_prompt_2.mkv | 30.9 MB | ||
| 06-k-means_exercise_solution_2.mkv | 41.2 MB | ||
| 07-k-means_exercise_prompt_3.mkv | 54 MB | ||
| 08-k-means_exercise_solution_3.mkv | 113.9 MB | ||
| 09-k-means_objective_(theory).mkv | 69.1 MB | ||
| 10-k-means_objective_(code).mkv | 34.3 MB | ||
| 11-where_to_get_discount_coupons_and_free_machine_learning_material.mkv | 47.5 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Machine Learning: K-Means Clustering
Video: .MKV, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 1h 32m
Genre: eLearning | Language: English | Size: 627 MB
Cluster analysis is a staple of unsupervised machine learning and data science.
It is very useful for data mining and big data because it automatically finds patterns in the data, without the need for labels, unlike supervised machine learning.
In a real-world environment, you can imagine that a robot or an artificial intelligence won’t always have access to the optimal answer, or maybe there isn’t an optimal correct answer. You’d want that robot to be able to explore the world on its own, and learn things just by looking for patterns.
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