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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


  • C

    Cleveland Clinic

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Model Optimization, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Model Training, Health Care, Supervised Learning, Clinical Experience, Health Technology, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Machine Learning and AI Applications in Healthcare

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Data Presentation, Dashboard Creation, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Health Equity, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Predictive Modeling, AI Workflows, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Python Programming, NumPy, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

  • U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Model Training, Incident Response, Machine Learning Methods, Anomaly Detection, Applied Machine Learning, Continuous Monitoring, AI Security, Cryptographic Protocols, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Network Architecture, Unsupervised Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making

    4.4
    Rating, 4.4 out of 5 stars
    ·
    124 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Analytics, Predictive Modeling, Data Processing, Statistical Analysis, Data Preprocessing, Applied Machine Learning, Supervised Learning, Random Forest Algorithm, Logistic Regression, Decision Tree Learning

    Intermediate · Course · 1 - 3 Months

1…272829…834

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

  • Machine Learning in Healthcare: Foundations and Applications: Cleveland Clinic
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
  • Machine Learning and AI Applications in Healthcare: Microsoft
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Python for Data Science, AI & Development: IBM
  • No-Code Data Science and Machine Learning: Edureka
  • Machine Learning e Data Mining in R: Università di Napoli Federico II
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Solve Business Problems with AI and Machine Learning: CertNexus

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