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  • Matrix Multiplication Algorithm

Results for "matrix multiplication algorithm"


  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Model Training, Regression Analysis, NumPy, Machine Learning Algorithms, Machine Learning, Model Optimization, Deep Learning, Data Science, Python Programming

    ★ 4.6 (440) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Python Programming, Data Analysis, Unsupervised Learning, Analysis, Text Mining

    ★ 4.7 (219) · Intermediate · Course · 1 - 4 Weeks

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

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Statistical Machine Learning, Data Validation, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    ★ 5 (47) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Model Optimization, Applied Mathematics, Theoretical Computer Science, Combinatorics, Operations Research

    ★ 4.7 (33) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra

    ★ 4.9 (48) · Intermediate · Course · 1 - 4 Weeks

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

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    ★ 4.7 (64) · Intermediate · Course · 1 - 3 Months

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

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    ★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of Glasgow

    Fundamental MATLAB Programming for AI

    Skills you'll gain: Matlab, Data Visualization, Model Optimization, Scientific Visualization, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Data Literacy, Data Wrangling, Data Preprocessing, Mathematical Modeling, Engineering Analysis

    ★ 4.9 (76) · Beginner · Course · 1 - 4 Weeks

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

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Cloud Development, Amazon Elastic Compute Cloud, Cloud Applications, Cloud Infrastructure, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Amazon Web Services, Cloud Platforms, Performance Tuning, Program Development, Computer Architecture, Hardware Architecture, Performance Testing, Computer Programming

    ★ 4.4 (26) · Intermediate · Course · 1 - 3 Months

    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
  • U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Mathematics and Mathematical Modeling, Data Analysis, Data Modeling, Statistical Methods, Algebra, Numerical Analysis

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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…678…250

In summary, here are 10 of our most popular matrix multiplication algorithm courses

  • Linear Regression with Python: Coursera
  • Algorithmic Thinking (Part 2): Rice University
  • Machine Learning and its Applications: University of Glasgow
  • Approximation Algorithms: 28DIGITAL
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Fundamental MATLAB Programming for AI: University of Glasgow
  • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano

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