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Math For Machine Learning Courses

Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

Popular Math For Machine Learning Courses and Certifications


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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

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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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    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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    Emory University

    Math for MBA and GMAT Prep

    Skills you'll gain: Regression Analysis, Data Visualization, Data Storytelling, Statistical Visualization, Business Mathematics, Descriptive Statistics, General Mathematics, Microsoft Excel, Statistics, Excel Formulas, Statistical Analysis, Statistical Methods, Algebra, Probability & Statistics, Calculus, Applied Mathematics, Business

    4.2
    Rating, 4.2 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 3 Months

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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, Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, SAS (Software), Text Mining, R Programming, Performance Analysis, Unstructured Data, Scheduling

    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, Student-Centred Learning, Logical Reasoning

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

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    British Standards Institution

    Evaluating Machine Learning Classification Models

    Skills you'll gain: Statistical Methods, Statistical Hypothesis Testing, Performance Testing, Verification And Validation, Statistical Analysis, Supervised Learning, Machine Learning, Data Validation, Statistical Reporting, Technical Communication, Data Quality, Performance Analysis, Test Data, Applied Machine Learning, Data Ethics, Probability & Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    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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    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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    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

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    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    74 reviews

    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

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

  • Databricks Machine Learning Quickstart: Coursera
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Basic Math: Integrals: Universitat Politècnica de València
  • Math for MBA and GMAT Prep: Emory University
  • Managing Machine Learning Models: SAS
  • Tutoring and Teaching Math for Understanding: University of California, Santa Cruz
  • Evaluating Machine Learning Classification Models: British Standards Institution
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA

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