Search result for Dimensionality reduction Online Courses & Certifications
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Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Curse of Dimensionality Notebook - Part 1 Curse of Dimensionality Notebook - Part 2 Dimensionality Reduction Dimensionality Reduction - Part 1 Dimensionality Reduction - Part 2 Dimensionality Reduction Imaging Example Dimensionality Reduction...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Curse of Dimensionality Notebook - Part 1 Curse of Dimensionality Notebook - Part 2 Dimensionality Reduction Dimensionality Reduction - Part 1 Dimensionality Reduction - Part 2 Dimensionality Reduction Imaging Example Dimensionality Reduction...
Matrix Methods
by Daniel Boley- 4.1
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Approx. 7 hours to complete
Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction....
Principal Component Analysis (PCA) and Factor Analysis
by Gopal Prasad Malakar- 4.3
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1.5 hours on-demand video
Analytics / Machine Learning / Dimensionality Reduction : PCA & Factor Analysis using SAS and R program...
$9.99
Big Data Analytics in Healthcare
by Jimeng Sun , David Joyner- 0.0
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Approx. 0
lesson 1 Big Data Predictive Modeling Dimensionality Reduction & Tensor Factorization Graph Analysis lesson 2 Healthcare Computational Phenotyping Patient Similarity Metrics Medical Ontology lesson 3 Technologies MapReduce Spark Hadoop...
Free
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks. Topics include pattern recognition, PAC learning, overfitting, decision trees, classification, linear regression, logistic regression, gradient descent, feature projection, dimensionality reduction, maximum likelihood, Bayesian methods, and neural networks....
$1000
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Employ dimension reduction techniques for both EDA and transformations stages Introduction to Dimensionality Reduction Dimension Reduction Dimensionality Reduction: Through the Eyes of Our Working Example Why is Dimensionality Reduction Important? Dimensionality Reduction and Topic models Dimensionality Reduction: Check for Understanding...
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Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
By the end of the course, you’ll apply clustering and dimensionality reduction in Machine Learning using Python as well as Master Unsupervised Learning to solve real-world problems! By the end of the course, you’ll apply clustering and dimensionality reduction in Deep Learning using Python as well as Master Unsupervised Learning to solve real-world problems!...
$12.99
Mining Massive Datasets
by Jeffrey D. Ullman , Jure Leskovec , Anand Rajaraman- 0.0
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7 Weeks
The major topics covered include: MapReduce systems and algorithms, Locality-sensitive hashing, Algorithms for data streams, PageRank and Web-link analysis, Frequent itemset analysis, Clustering, Computational advertising, Recommendation systems, Social-network graphs, Dimensionality reduction, and Machine-learning algorithms. Dimensionality reduction...
$149
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges....
