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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


  • É

    École Polytechnique

    Étudier en France: French Intermediate course B1-B2

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    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

  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Education and Training, Empathy & Emotional Intelligence, Journals, Pedagogy, Empathy, Growth Mindedness, Tenacity, Persistence, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
    ·
    712 reviews

    Advanced · Course · 1 - 3 Months

  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

  • 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
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    965 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Inspire Student Learning with Showbie

    Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management

    Beginner · Guided Project · Less Than 2 Hours

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

  • Étudier en France: French Intermediate course B1-B2: École Polytechnique
  • An Introduction to Practical Deep Learning: Intel
  • Deep Learning & Modern AI Architectures: Packt
  • Keras Deep Learning Projects with TensorFlow: EDUCBA
  • The Teacher's Social and Emotional Learning: University of Colorado Boulder
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Designing Learning Innovation: an introduction: Politecnico di Milano
  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • Preparation for Job Interviews: Coursera
  • Deep Learning with PyTorch : Siamese Network: Coursera

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