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  • Math For Machine Learning

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


  • E

    EDUCBA

    Apply Machine Learning for Predictive Business Analytics

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Demand Planning, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Inventory and Warehousing, Analytics, Data Processing, Data Wrangling, Advanced Analytics, Machine Learning, Business

    ★ 5 (13) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    ★ 4.8 (400) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    ★ 4.5 (16) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

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

    Status: Free Trial
    Free Trial
  • P

    Packt

    Machine Learning and Generative AI for Marketing

    Skills you'll gain: Marketing Analytics, Time Series Analysis and Forecasting, Retrieval-Augmented Generation, AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Generative AI, Data-Driven Marketing, Customer Analysis, Key Performance Indicators (KPIs), Data Transformation, Generative Model Architectures, Customer Engagement, Marketing Strategies, Generative Adversarial Networks (GANs), Predictive Modeling, Responsible AI, Predictive Analytics, Trend Analysis

    Intermediate · Specialization · 3 - 6 Months

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

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Statistical Software, Machine Learning Methods, Machine Learning Software, Workflow Management, Machine Learning, Correlation Analysis, Applied Machine Learning

    ★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Machine Learning Methods, Feature Engineering, Supervised Learning, Model Evaluation

    ★ 4.9 (17) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Machine Learning Methods, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines

    ★ 4.6 (1K) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods

    ★ 4.6 (104) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    ★ 4.7 (28) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    ★ 4.7 (26) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular math for machine learning courses

  • Apply Machine Learning for Predictive Business Analytics: EDUCBA
  • Managing Machine Learning Projects: Duke University
  • Intro to Federated Learning: DeepLearning.AI
  • Supervised Machine Learning: Classification: IBM
  • Machine Learning and Generative AI for Marketing: Packt
  • Machine Learning: Clustering & Retrieval: University of Washington
  • SAS Machine Learning Engineer: SAS
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Production Machine Learning Systems: Google Cloud
  • Deep Learning with PyTorch: IBM

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