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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


  • U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, AI Enablement, Responsible AI, Personalized Campaigns, Deep Learning, Risk Modeling, Demand Planning, Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Risk Management, Business Analytics, Customer Demand Planning, Data-Driven Marketing, Machine Learning, Target Market, Artificial Intelligence, Business Risk Management, Supply Chain Planning, Marketing Analytics

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Business Analysis Tools, Data-Driven Decision-Making, Process Modeling, Data Analysis, AI Integrations, AI literacy, Data Storytelling, Artificial Intelligence, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

    ★ 4.7 (12K) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    ★ 4.8 (182) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • E

    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Containerization, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
  • K

    KodeKloud

    Python for the Absolute Beginner

    Skills you'll gain: Data Structures, Python Programming, Computational Logic, Programming Principles, Data Storage, Code Reusability, Program Development, Computer Programming, Computer Architecture

    ★ 4.4 (32) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Fraud detection, Model Evaluation, Malware Protection, Cybersecurity, Threat Detection, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Classification Algorithms, Email Security, Network Security, Jupyter, Authentications, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence

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

    Status: Free Trial
    Free Trial
  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

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

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Markov Model, Estimation, Advanced Mathematics, Mathematical Modeling, Correlation Analysis, Control Systems, Matlab, Linear Algebra, Statistical Methods, Numerical Analysis, Applied Mathematics, Time Series Analysis and Forecasting, Forecasting, Statistical Inference, Probability & Statistics

    ★ 5 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • R

    Rice University

    Finance for Non-Finance Professionals

    Skills you'll gain: Capital Budgeting, Cash Flows, Fiscal Management, Finance, Financial Analysis, Cash Flow Forecasting, Business Valuation, Return On Investment, Financial Management, Corporate Finance, General Finance, Case Studies, Investment Management, Financial Market, Risk Analysis, Financial Accounting, Capital Markets

    ★ 4.8 (2.9K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Object Oriented Programming (OOP), Object Oriented Design

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

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

  • AI for Business Leaders: University of Maryland, College Park
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Generative AI for Business Analysts: IBM
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Python for the Absolute Beginner: KodeKloud
  • AI for Cybersecurity: Johns Hopkins University
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Finance for Non-Finance Professionals: Rice University

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