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Math For Machine Learning Courses

Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Popular Math For Machine Learning Courses and Certifications


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    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

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    U

    Universitat Politècnica de València

    Basic Math: Integrals

    Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Trigonometry

    Beginner · Course · 1 - 3 Months

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    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Materials science, Applied Mathematics, Mathematical Theory & Analysis, General Mathematics, Mathematical Modeling, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of California, Santa Cruz

    Tutoring and Teaching Math for Understanding

    Skills you'll gain: Teaching, Pedagogy, Instructional Strategies, K-12 pedagogy, Human Learning, Student-Centred Learning, Arithmetic

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

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    British Standards Institution

    Evaluating Machine Learning Classification Models

    Intermediate · Course · 1 - 3 Months

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    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Project Planning and Machine Learning

    Skills you'll gain: Machine Learning Algorithms, Big Data, Machine Learning Methods, Data Preprocessing, Analytics, File Systems, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage, Project Planning, Staff Management

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    134 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Apply R for Predictive Analytics and Machine Learning

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    An Introduction to Learning Experience Design (LXD)

    Skills you'll gain: Program Evaluation, Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Design Thinking, Education Software and Technology, Professional Development, Brainstorming, Human Centered Design, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, Prototyping, Design Strategies, Student-Centred Learning

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Basic Math: Integrals: Universitat Politècnica de València
  • Databricks Machine Learning Quickstart: Coursera
  • Managing Machine Learning Models: SAS
  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
  • Tutoring and Teaching Math for Understanding: University of California, Santa Cruz
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Evaluating Machine Learning Classification Models: British Standards Institution
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Project Planning and Machine Learning: University of Colorado Boulder

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