Dimensionality Reduction

Dimensionality Reduction is a data preprocessing technique used in machine learning, which reduces the number of random variables to consider by obtaining a set of principal variables. Coursera's Dimensionality Reduction catalogue teaches you to handle high-dimensional data, enhance computational efficiency, and prevent overfitting. You'll learn to implement methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Non-negative Matrix Factorization (NMF). You'll also understand how to visualize high-dimensional datasets, improve model performance, and handle issues related to underfitting and overfitting. This knowledge will empower you to tackle complex machine learning problems, data analysis tasks, and make sense of large datasets.
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Results for "dimensionality reduction"

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, Python Programming, Linear Algebra, NumPy, Algorithms, Exploratory Data Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Visualization (Computer Graphics), Generative Model Architectures, Artificial Intelligence, Data Ethics, Computational Thinking, Generative AI, Applied Machine Learning, Unsupervised Learning, Linear Algebra, Data Processing, Data Transformation, Dimensionality Reduction, Probability Distribution

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  • Status: New
    Status: Free Trial

    Birla Institute of Technology & Science, Pilani

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

  • Status: New
    Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Statistical Analysis, Biology, Pharmacology, Algorithms, Machine Learning, Data Analysis Software, Data Mapping, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, Data Processing, Data Analysis, Engineering Analysis, Programming Principles, Scripting, Debugging, Mathematical Software

What brings you to Coursera today?

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