Unsupervised Algorithms in ML
The course covers the fundamentals of unsupervised learning methods and their real-world applications, particularly recommender systems.
Description for Unsupervised Algorithms in ML
Unsupervised Learning Fundamentals: Gain an understanding of the definition of unsupervised learning and the methods employed to identify concealed patterns in unlabeled data.
Matrix Factorization Algorithms: Investigate a variety of matrix factorization methods and comprehend the function of each algorithm in the context of machine learning.
Dimensionality Reduction and Clustering: Investigate the application of unsupervised learning techniques in real-world scenarios to reduce dimensionality and cluster data.
Recommender Systems: Acquire practical experience with product recommendation algorithms and their implementation in real-world recommender systems.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by University of Colorado Boulder
Duration: 38 hours (approximately)
Schedule: Flexible
Pricing for Unsupervised Algorithms in ML
Use Cases for Unsupervised Algorithms in ML
FAQs for Unsupervised Algorithms in ML
Reviews for Unsupervised Algorithms in ML
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Unsupervised Algorithms in ML
Notably is an AI-driven research platform offering comprehensive features, including video transcription, sentiment analysis, and advanced search, to empower researchers across industries.
Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Acquire knowledge of machine learning by examining actual applications. Develop the necessary skills for a vocation in one of the most pertinent areas of contemporary AI by participating in hands-on projects and completing coursework from IBM's experts.
Learn to develop, assess, and enhance machine learning models using Python libraries, covering introductory deep learning, supervised, and unsupervised learning algorithms.
Learn to implement and apply unsupervised learning techniques, focusing on clustering and dimension reduction algorithms, in a business environment.
Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.
Learn to apply unsupervised learning techniques, build recommender systems, and develop deep reinforcement learning models.
Apply mathematical concepts to real-world data, derive PCA from a projection perspective, comprehend orthogonal projections, and master Principal Component Analysis.
The course concentrates on the development of an HTML framework for a Plotly Dash dashboard that includes interactive scatter plots, bar charts, radio buttons, and dropdowns. It emphasizes the evaluation of model performance and the visualization of dimensionality reduction outcomes.
Featured Tools
Prepare yourself for your initial position in business intelligence. Develop the essential competencies required to initiate a career in business intelligence (BI) within two months. There is no prerequisite for a degree or prior experience.
The course teaches advanced AI development for real-world applications by integrating intuitive learning and hands-on projects.
Examine the development and deployment of interactive Python data applications, with a particular emphasis on Recommender Systems and the use of Python web frameworks to deploy and monitor machine learning models.
Learn practical insights on how to integrate AI into your business and comprehend its societal impact by navigating a complicated landscape of AI adoption.
The project's primary objective is to enhance the interpretability of machine learning models by facilitating the elucidation of individual predictions using LIME.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: [email protected]
Aimed Labs