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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


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    Emory University

    Finance for Non-Financial Managers

    Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Financial Acumen, Income Statement, Balance Sheet, Finance, Financial Data, Risk Management, Microsoft Excel, Capital Budgeting, Spreadsheet Software, General Finance, Business Valuation, Cash Flows, Investments

    4.4
    Rating, 4.4 out of 5 stars
    ·
    475 reviews

    Intermediate · Course · 1 - 3 Months

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    University of California, Irvine

    Finance for Non-Financial Professionals

    Skills you'll gain: Cash Management, Financial Statement Analysis, Cost Control, Financial Data, Cost Reduction, Budget Management, Cash Flows, Accounting, Finance, Financial Planning

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Supervised Learning, Classification Algorithms, Artificial Intelligence, Machine Learning, Data Ethics, Regression Analysis, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Scientific Visualization

    Credit offered

    Mastertrack · 6 - 12 Months

  • Status: Free Trial
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    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    P

    Packt

    Foundations of LLMs and Deep Learning for Text Analysis

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Consolidation, Business Reporting, Data Management, Data Integration, Automation

    4.9
    Rating, 4.9 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Macquarie University

    Excel Skills for Business: Intermediate II

    Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Data Integrity, Visual Basic (Programming Language), Business Modeling, Automation, Data Security

    4.8
    Rating, 4.8 out of 5 stars
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    8.5K reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Cambridge

    Finance for Non-finance Professionals

    Skills you'll gain: Financial Acumen, Financial Controls, Variance Analysis, Business Mathematics, Financial Forecasting, Cost Benefit Analysis, Capital Budgeting, Financial Management, Financial Analysis, Budget Management, Financial Modeling, Financial Reporting, Financial Statement Analysis, Cost Estimation, Financial Statements, Return On Investment, Accounting, Budgeting, Microsoft Excel

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

    Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation, Digital Communications

    4.8
    Rating, 4.8 out of 5 stars
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    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Teacher

    Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Education and Training, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Diversity Awareness, Cultural Responsiveness, Self-Awareness

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Mixed · Course · 1 - 3 Months

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

  • Finance for Non-Financial Managers: Emory University
  • Finance for Non-Financial Professionals: University of California, Irvine
  • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
  • Learning Deep Learning: Unit 1: Pearson
  • Foundations of LLMs and Deep Learning for Text Analysis: Packt
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Learning Deep Learning: Unit 2: Pearson
  • Excel Skills for Business: Intermediate II: Macquarie University
  • Finance for Non-finance Professionals: University of Cambridge
  • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign

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