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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


  • U

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Wrangling, Data Entry, Data Presentation, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • 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
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    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
    ·
    888 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Geometry, Trigonometry, Derivatives, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    AI for Project Managers and Scrum Masters

    Skills you'll gain: Agile Project Management, Forecasting, Predictive Modeling, Agile Methodology, Workflow Management, Project Management Software, Innovation, Project Management Life Cycle, Project Management, Automation, AI Integrations, Artificial Intelligence, Digital Transformation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    155 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

    Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Support Interactive Learning with Genially: Coursera
  • Smart Teaching and Learning with AI: Politecnico di Milano
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Introduction to Calculus: The University of Sydney
  • H2O GPTe Learning Path: H2O.ai
  • AI for Project Managers and Scrum Masters: Coursera
  • AI & Deep Learning Concepts and Applications: Simplilearn

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