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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


  • 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

  • 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
  • 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

  • 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

  • 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 (109) · Advanced · Course · 1 - 3 Months

  • 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 (889) · Beginner · Specialization · 3 - 6 Months

  • 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

  • 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 (155) · Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

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

  • W

    Workday

    Workday Human Capital Management for Business Users

    Skills you'll gain: Workday (Software), Human Resources Software, Human Capital, HR Tech, Benefits Enrollment Processes, Human Resources Information System (HRIS), People Analytics, Learning Management Systems, Human Resource Management, Workflow Management, Staff Management, Business Reporting, Management Reporting, Applicant Tracking Systems, Ad Hoc Reporting, Training Programs, Business Process, Workforce Planning, Compensation Analysis, Data Entry

    ★ 4.7 (140) · Beginner · Course · 1 - 3 Months

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

  • Support Interactive Learning with Genially: Coursera
  • IBM AI Engineering: IBM
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
  • Cutting-Edge Topics in Deep Reinforcement Learning: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Smart Teaching and Learning with AI: Politecnico di Milano
  • Supply Chain Management: A Learning Perspective : Korea Advanced Institute of Science and Technology(KAIST)
  • AI for Project Managers and Scrum Masters: Coursera

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