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  • Vectors

Results for "vectors"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Applied Machine Learning, Markov Model

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Data Preprocessing, Unsupervised Learning, Feature Engineering, Applied Mathematics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Artificial Neural Networks, Data Science, Data Manipulation, Python Programming, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving

    Build toward a degree

    3
    Rating, 3 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Crunch Vectors with GeoPandas

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, GIS Software, Geospatial Mapping, Geospatial Information and Technology, Geostatistics, Data Validation, Data Transformation, Data Mapping, Verification And Validation, Geometric Dimensioning And Tolerancing

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
    New
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    C

    Coursera

    Measure Vector Similarity

    Skills you'll gain: Data-Driven Decision-Making, Applied Machine Learning, Vector Databases, NumPy, Model Evaluation, Machine Learning, Machine Learning Algorithms, Linear Algebra, Python Programming, Classification Algorithms, Numerical Analysis, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize and Migrate Vectors

    Skills you'll gain: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Infrastructure Architecture, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Management, MLOps (Machine Learning Operations), Scripting, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Vectors and Intersections in Game Development

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Advanced · Course · 1 - 4 Weeks

1234…16

In summary, here are 10 of our most popular vectors courses

  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Mathematics for Machine Learning: Imperial College London
  • Introduction to Linear Algebra: The University of Sydney
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Essential Mathematics for Computer Science: University of London
  • Crunch Vectors with GeoPandas: Coursera
  • Measure Vector Similarity: Coursera
  • Optimize and Migrate Vectors: Coursera
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Foundational Mathematics for AI: Johns Hopkins University

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