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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


  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • B

    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, 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 (74) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    ★ 4.8 (53K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    ★ 4.3 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • A

    Amazon Web Services

    Planning a Machine Learning Project

    Skills you'll gain: Decision Intelligence, Feasibility Studies, Business Analysis, Decision Making, Strategic Decision-Making, Business Planning, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, AI Product Strategy, Program Evaluation, Business Leadership, Project Design, Leadership and Management, Strategic Leadership

    ★ 4.6 (27) · Mixed · Course · 1 - 4 Weeks

    Category: Free
    Free
  • J

    John Wiley & Sons

    Data Science and Machine Learning for Business Professionals

    Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Category: Preview
    Preview
  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • P

    Packt

    Julia Programming for Data Science and Machine Learning

    Skills you'll gain: Plot (Graphics), Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, Statistical Analysis, Scripting Languages, C (Programming Language), Data Structures, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
1…192021…834

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

  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Data and Machine Learning for Technical Product Managers: Coursera
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
  • Practical Machine Learning on H2O: H2O.ai
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • AI For Everyone: DeepLearning.AI
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Planning a Machine Learning Project: Amazon Web Services
  • Data Science and Machine Learning for Business Professionals: John Wiley & Sons
  • Bracketology with Google Machine Learning: Google Cloud

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