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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


  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Cutting-Edge Topics in Deep Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Agentic systems, Artificial Neural Networks, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    H2O GPTe Learning Path

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative AI Agents, Agentic Workflows, Document Management, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Agentic systems, Application Programming Interface (API), Process Optimization, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Bootstrap (Front-End Framework), Web Design, Hypertext Markup Language (HTML), Web Development, Development Environment, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Browser Compatibility, Object Oriented Programming (OOP), Event-Driven Programming, User Interface and User Experience (UI/UX) Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Preparation for Job Interviews

    Skills you'll gain: Interviewing Skills, Oral Expression, Follow Through, Communication, Business Writing

    4.3
    Rating, 4.3 out of 5 stars
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    965 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Politecnico di Milano

    Smart Teaching and Learning with AI

    Skills you'll gain: Blended Learning, Pedagogy, Large Language Modeling, Teaching, Digital pedagogy, LLM Application, Instructional Design, Instructional and Curriculum Design, Student Engagement, Learning Strategies, Education Software and Technology, Interactive Learning, Lesson Planning, Educational Materials, AI Personalization, Innovation, Student-Centred Learning, Curriculum Planning, Differentiated Instruction, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
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    888 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Étudier en France: French Intermediate course B1-B2

    Skills you'll gain: Language Competency, Language Learning, Oral Comprehension, Grammar, Higher Education, Oral Expression, Cultural Diversity, Intercultural Competence, Vocabulary, Multilingualism, Lecturing, Formal Learning, Writing, Political Sciences

    4.8
    Rating, 4.8 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    4.9
    Rating, 4.9 out of 5 stars
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    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Designing Learning Innovation: an introduction

    Skills you'll gain: Teaching, Pedagogy, Student Engagement, Instructional and Curriculum Design, Instructional Strategies, Instructional Design, Lesson Planning, Curriculum Planning, Student-Centred Learning, Innovation, Learning Theory, Quality Assessment, Infographics

    4.9
    Rating, 4.9 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cutting-Edge Topics in Deep Reinforcement Learning: Packt
  • H2O GPTe Learning Path: H2O.ai
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Support Interactive Learning with Genially: Coursera
  • Preparation for Job Interviews: Coursera
  • Smart Teaching and Learning with AI: Politecnico di Milano
  • Étudier en France: French Intermediate course B1-B2: École Polytechnique
  • Deep Learning & Modern AI Architectures: Packt

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