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  • Linear Algebra For Machine Learning

Linear Algebra for Machine Learning Courses

Linear Algebra for Machine Learning courses can help you learn matrix operations, vector spaces, eigenvalues, and linear transformations. You can build skills in solving systems of equations, dimensionality reduction, and understanding data representations. Many courses introduce tools like NumPy and MATLAB, that support implementing algorithms and performing computations efficiently in AI and machine learning projects.

Popular Linear Algebra for Machine Learning Courses and Certifications


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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Learning Theory, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Awareness, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
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    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Generative AI, Image Analysis, Machine Learning Methods, Embeddings, Generative Model Architectures, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Model Deployment, Artificial Neural Networks, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Health Care, Big Data

    3.3
    Rating, 3.3 out of 5 stars
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    51 reviews

    Advanced · Specialization · 1 - 3 Months

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    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Algebra: Elementary to Advanced - Functions & Applications

    Skills you'll gain: Mathematical Modeling, Graphing, Algebra, Applied Mathematics, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
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    197 reviews

    Beginner · Course · 1 - 4 Weeks

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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Data Visualization Software, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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    Y

    Yonsei University

    Deep Learning for Business

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
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    687 reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Machine Learning Algorithms, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Washington

    Machine Teaching for Autonomous AI

    Skills you'll gain: Decision Intelligence, Data Storytelling, Model Training, Automation, Decision Support Systems, AI Product Strategy, Artificial Intelligence, Machine Learning, Innovation, Algorithms, Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular linear algebra for machine learning courses

  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Algebra: Elementary to Advanced - Functions & Applications: Johns Hopkins University
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Deep Learning for Business: Yonsei University
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera

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