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  • Mathematics For Machine Learning

Mathematics for Machine Learning Courses

Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Popular Mathematics for Machine Learning Courses and Certifications


  • S

    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

    Status: Free Trial
    Free Trial
  • C

    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

    Category: New
    New
    Category: Preview
    Preview
  • C

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • C

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing

    ★ 4.8 (11) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • B

    British Standards Institution

    Evaluating Machine Learning Classification Models

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Data Processing, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Model Optimization, Regression Analysis

    ★ 4.4 (30) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    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 (141) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • U

    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

    ★ 4.6 (134) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • E

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • B

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Training, Model Evaluation, Data Preprocessing, Regression Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Analysis, Plot (Graphics), Machine Learning, Data Visualization, Decision Tree Learning, Predictive Analytics, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    ★ 4.9 (7) · Beginner · Guided Project · Less Than 2 Hours

1…181920…834

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

  • Managing Machine Learning Models: SAS
  • Databricks Machine Learning Quickstart: Coursera
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Statistics & Mathematics for Data Science & Data Analytics: Packt
  • Evaluating Machine Learning Classification Models: British Standards Institution
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • An Introduction to Learning Experience Design (LXD): University of Michigan
  • Project Planning and Machine Learning: University of Colorado Boulder
  • Apply R for Predictive Analytics and Machine Learning: EDUCBA

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