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  • Dimensionality Reduction

Results for "dimensionality reduction"


  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    ★ 4.4 (366) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    ★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms

    ★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Jupyter, Applied Mathematics, Algebra, Python Programming

    ★ 4.3 (33) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    ★ 4.3 (833) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    MathWorks

    Practical Data Science with MATLAB

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Plot (Graphics), Supervised Learning, Dimensionality Reduction, Data Presentation, Data Integration, Scientific Visualization, Statistical Visualization, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Model Training, Technical Communication, Data Analysis, Machine Learning Methods

    ★ 4.8 (1.1K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Advanced SQL for Data Pipeline Optimization

    Skills you'll gain: Data Pipelines, Data Validation, SQL, Extract, Transform, Load, Data Transformation, JSON, Data Processing, Data Warehousing, Query Languages, Data Integration, Data Integrity, Performance Testing, Performance Tuning, Data Quality, Verification And Validation, Dashboard, Systems Integration, Dimensionality Reduction

    Advanced · Course · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Vector Database Foundations and Core Concepts

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, AI Workflows, Retrieval-Augmented Generation, Database Design, Database Systems, Model Optimization, Unstructured Data, Performance Tuning, Machine Learning Methods, Dimensionality Reduction, Model Evaluation, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    ★ 4.7 (239) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Anomaly Detection, Algorithms

    ★ 4.5 (11) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Data Modeling and Lakehouse Architecture with SQL

    Skills you'll gain: Star Schema, Data Modeling, Data Architecture, Database Design, Data Lakes, Data Warehousing, Database Architecture and Administration, Enterprise Modeling, SQL, Data Pipelines, Diagram Design, Database Theory, Business Logic, Data Integrity, Semantic Web, Data Storage, Business Metrics, Dimensionality Reduction, Resource Utilization, Issue Tracking

    Advanced · Course · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…51

In summary, here are 10 of our most popular dimensionality reduction courses

  • IBM AI Enterprise Workflow: IBM
  • IBM Introduction to Machine Learning: IBM
  • Machine Learning with Python: IBM
  • Linear Algebra for Data Science Using Python: Howard University
  • Recommender Systems: University of Minnesota
  • Practical Data Science with MATLAB: MathWorks
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Advanced SQL for Data Pipeline Optimization: Coursera
  • Vector Database Foundations and Core Concepts: Coursera
  • First Principles of Computer Vision: Columbia University

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