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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


  • P

    Packt

    Playwright Python and Pytest for Web Automation Testing

    Skills you'll gain: Continuous Integration, Test Automation, Authentications, CI/CD, Test Script Development, API Testing, Software Testing, Behavior-Driven Development, Event-Driven Programming, GitHub, Cascading Style Sheets (CSS)

    ★ 4.3 (21) · Intermediate · Course · 3 - 6 Months

  • D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Performance Tuning, Python Programming, NumPy, Jupyter

    ★ 4.9 (18) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Heat Maps, Convolutional Neural Networks, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    ★ 4.6 (21) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Curiosity and Lifelong Learning

    Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Open Mindset, Professional Development, Constructive Feedback, Interactive Learning, Mental Concentration, Personal Development, Teaching, Self-Motivation, Psychology, Learning Strategies, AI Integrations

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)

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

  • E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    ★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Supply Chain Management: A Learning Perspective

    Skills you'll gain: New Product Development, Supply Chain, Supply Chain Management, Supply Chain Planning, Quality Management, Operations Management, Logistics Management, Supplier Management, Product Quality (QA/QC), Inventory Management System, Corporate Sustainability, Sustainable Business, Coordination, Value Propositions, Operational Efficiency

    ★ 4.7 (1.8K) · Mixed · Course · 1 - 3 Months

  • 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

    ★ 4.6 (8) · 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

  • U

    University of Illinois Urbana-Champaign

    Ubiquitous Learning and Instructional Technologies

    Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Diversity Awareness

    ★ 4.6 (78) · Mixed · 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 (19) · 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

  • Playwright Python and Pytest for Web Automation Testing: Packt
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Curiosity and Lifelong Learning: Packt
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • Practical Deep Learning with Python: Edureka
  • IBM AI Engineering: IBM
  • Supply Chain Management: A Learning Perspective : Korea Advanced Institute of Science and Technology(KAIST)
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Supervised Learning Regression Classification Clustering: Simplilearn

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