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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


  • Status: Preview
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    N

    National Taiwan University

    Learning Chinese : Start From Scratch (零到一學中文)

    Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

    4.5
    Rating, 4.5 out of 5 stars
    ·
    553 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Medical Records, Data Mining, Medical Coding, Responsible AI, AI Security, Electronic Medical Record, Clinical Informatics, Predictive Modeling, Patient Flow, Predictive Analytics, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Google Ads for Beginners

    Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Advertising, Online Advertising, Digital Advertising, Paid media, Marketing, Digital Marketing, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    6K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free
    Free
    L

    Lund University

    A student's guide to GenAI and learning

    Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, Personal Integrity, AI Integrations, Ethical Standards And Conduct, Digital pedagogy, Learning Strategies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Education Software and Technology, ChatGPT, Instructional Design, AI literacy, Ideation, AI Integrations, Brainstorming, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Persona Development, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
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    87 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.6 out of 5 stars
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    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    English for Journalism

    Skills you'll gain: Journalism, Research, Oral Expression, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Writing and Editing, Electronic Media, English Language, Storytelling, Language Competency, Digital Transformation, Editing

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Deploying Deep Learning: Quantization, Serving, and Edge AI

    Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, Cloud Deployment, Fine-tuning, Containerization, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Performance Tuning, Scalability, Memory Management

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, AI literacy, Model Training, Machine Learning, Model Optimization

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    894 reviews

    Advanced · Course · 1 - 3 Months

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

  • Learning Chinese : Start From Scratch (零到一學中文): National Taiwan University
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Google Ads for Beginners: Coursera
  • A student's guide to GenAI and learning: Lund University
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Generative AI as a Learning Design Partner: University of Michigan
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • English for Journalism: University of Pennsylvania
  • Deploying Deep Learning: Quantization, Serving, and Edge AI: Board Infinity

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