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#K-means

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Machine Learning with Python

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Comprehensive Python tutorial covering machine learning concepts, algorithms, and deep learning with TensorFlow. Includes hands-on projects and real-world applications.
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72 Lesons
19 hours
On-Demand
Free-Video

TensorFlow Machine Learning Basic Tutorial

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TensorFlow와 머신러닝의 기초를 배우고 실제 프로젝트로 배추 가격 예측 AI를 개발하는 과정. 개발환경 설정부터 선형 회귀, K-평균 알고리즘, 데이터 시각화, 웹 서버 구현까지 다룹니다.
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20 Lesons
2 hours 30 minutes
On-Demand
Free-Video
GERAD Research Center

Global Optimization for Cardinality-Constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming

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Explore global optimization techniques for cardinality-constrained minimum sum-of-squares clustering using semidefinite programming, focusing on exact algorithms and state-of-the-art approaches.
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22 Lesons
53 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Practical Clustering and Topological Data Analysis

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Explore clustering algorithms and topological data analysis from a data science perspective, covering techniques from k-means to DBSCAN and dimensionality reduction methods like UMAP.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

K-Means and K-Medians Under Dimension Reduction

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Explore k-means and k-medians clustering algorithms under dimension reduction, examining distortion graphs, cost analysis, and combinatorial lemmas for robust high-dimensional statistics.
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17 Lesons
42 minutes
On-Demand
Free-Video
Devoxx

Create Your Own Music Recommendation System Using ML

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Learn to build a music recommendation system using machine learning, exploring algorithms like K-means, SVM, and neural networks with Spotify's API, Keras, and Sklearn.
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1 Lesons
1 hour 52 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Sum-of-Minimum Model: Joint Optimization of Specialized Models for Heterogeneous Data

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Explore joint optimization of specialized models for heterogeneous data using the sum-of-minimum approach. Learn algorithm design, performance bounds, and applications in various machine learning tasks.
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1 Lesons
26 minutes
On-Demand
Free-Video
Simons Institute

Fast Streaming Euclidean Clustering with Constant Space

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Explore streaming algorithms for k-median and k-means clustering, achieving constant space complexity independent of data size and aspect ratio. Improve space and update time for approximate subspace embeddings.
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1 Lesons
31 minutes
On-Demand
Free-Video
NashKnolX

Exploring Clustering Algorithms in Machine Learning

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Dive into clustering algorithms, exploring principles and real-world applications. Learn various types, including K-means, and understand how to implement and evaluate them effectively.
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18 Lesons
41 minutes
On-Demand
Free-Video
Google TechTalks

A Nearly Tight Analysis of Greedy k-means++

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Explore the greedy k-means++ algorithm's performance, analyzing its approximation guarantees and comparing it to the original k-means++ method for solving the k-means problem.
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1 Lesons
52 minutes
On-Demand
Free-Video