Search result for Dimensionality reduction Online Courses & Certifications
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Data Modeling and Regression Analysis in Business
by Sridhar Seshadri- 4.4
Approx. 25 hours to complete
Module 4: Curse of Dimensionality Lecture 4-2: Curse of Dimensionality...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Dimensionality Reduction and Manifold Learning...
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
Approx. 22 hours to complete
Dimensionality Reduction...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
Approx. 18 hours to complete
Introduction to Dimensionality Reduction and PCA...
Art and Science of Machine Learning
by Google Cloud Training- 4.6
Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. Introduction Course Introduction Getting Started with Google Cloud Platform and Qwiklabs...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
Approx. 20 hours to complete
Dimensionality Reduction...
Advanced Recommender Systems
by Paolo Cremonesi- 0.0
Approx. 15 hours to complete
In this course, you will see how to use advanced machine learning techniques to build more sophisticated recommender systems. Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model....
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Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
Approx. 33 hours to complete
People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. Do you have technical problems?...