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    • Linear Algebra For Machine Learning

    Linear Algebra for Machine Learning Courses Online

    Study linear algebra for machine learning to grasp algorithm mechanics. Learn about matrices, vectors, and eigenvalues.

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    Explore the Linear Algebra for Machine Learning Course Catalog

    • D

      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, Human Learning, Willingness To Learn, Productivity, Creativity, Problem Solving, Self-Discipline, Stress Management, Self-Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Content Creation, Business Ethics, Image Analysis, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      120 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Managing Machine Learning Projects

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      252 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Planning a Machine Learning Project

      Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      46 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Artificial Intelligence, OpenAI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, Deep Learning, Business Transformation, Artificial Neural Networks, Digital Transformation, Automation, Machine Learning, Application Deployment, Governance, IBM Cloud, Business Technologies, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Python Programming, Data Structures, Data Science, GitHub

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to linear algebra for machine learning

    linear algebra for machine learning and data science
    mathematics for machine learning: linear algebra
    1…789…834

    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
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • Foundations of AI and Machine Learning: Microsoft
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Managing Machine Learning Projects: Duke University
    • Planning a Machine Learning Project: Amazon Web Services
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Generative AI for Data Scientists: IBM
    • AI Foundations for Everyone: IBM
    • Data Science: Foundations using R: Johns Hopkins University

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