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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.


Popular Math For Machine Learning Courses and Certifications


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    Stanford University

    Health After Cancer: Cancer Survivorship for Primary Care

    Skills you'll gain: Patient Communication, Primary Care, Patient Education And Counseling, Patient-centered Care, Care Coordination, Oncology, Health Assessment, Chronic Diseases, Preventative Care, Clinical Assessment, Mental Health

    4.8
    Rating, 4.8 out of 5 stars
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    116 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
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    190 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    GenAI for Dynamic Advertising and Media Buying

    Skills you'll gain: Performance marketing, Google Ads, Media Buying, Content Performance Analysis, Advertising, Generative AI, Data Ethics, Campaign Management, Paid media, AI Personalization, Automation, Content Creation, Analytics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    HTML for Beginners: Working with Images

    Skills you'll gain: Responsive Web Design, Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Web Design, Web Content, Web Development, UI Components

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    GenAI for Mobile App Developers (iOS, Android)

    Skills you'll gain: Mobile Development, Generative AI, Application Development, API Testing, Test Automation, User Interface (UI), Responsible AI, Performance Tuning, Prompt Engineering, Human Computer Interaction, Automation, Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

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    LearnQuest

    No-Code AI Foundations for Business Professionals

    Skills you'll gain: AI Enablement, No-Code Development, Business Transformation, Digital Transformation, Change Management, Business Process Automation, Business Analysis, Responsible AI, Business Communication, Technical Communication, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    GenAI for Lead Scoring and Identification

    Skills you'll gain: Prompt Engineering, Responsible AI, Lead Generation, Data Ethics, Google Gemini, Sales Process, Generative AI, AI Enablement, Sales Enablement, OpenAI, ChatGPT, Automation, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

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    SAS

    Practicing for the SAS Programming Certification Exam

    Skills you'll gain: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Cleansing, Data Transformation, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
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    95 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Generative AI for Data Science with Copilot

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Autoencoders, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    36 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Documentation and Usability for Cancer Informatics

    Skills you'll gain: Usability, User Experience Design, User Centered Design, Usability Testing, Technical Documentation, Bioinformatics, End User Training and Support, Clinical Informatics, Technical Writing, Product Development, Writing

    Intermediate · Course · 1 - 3 Months

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    Birla Institute of Technology & Science, Pilani

    Discrete Mathematics for Computer Science and Engineering

    Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management

    Beginner · Course · 1 - 3 Months

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    Coursera

    GenAI for Financial Analysts: Essential Predictive Analytics

    Skills you'll gain: Generative AI, Financial Forecasting, Predictive Modeling, Financial Data, Market Data, Predictive Analytics, Financial Analysis, Portfolio Management, Advanced Analytics, Risk Management, Investment Management, Risk Analysis, Spreadsheet Software, Financial Reporting, Interactive Data Visualization, Analysis, Power BI, Automation

    Beginner · Course · 1 - 4 Weeks

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

  • Health After Cancer: Cancer Survivorship for Primary Care: Stanford University
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • GenAI for Dynamic Advertising and Media Buying: Coursera
  • HTML for Beginners: Working with Images: Coursera
  • GenAI for Mobile App Developers (iOS, Android): Coursera
  • No-Code AI Foundations for Business Professionals: LearnQuest
  • GenAI for Lead Scoring and Identification: Coursera
  • Practicing for the SAS Programming Certification Exam: SAS
  • Generative AI for Data Science with Copilot: Microsoft
  • Documentation and Usability for Cancer Informatics: Johns Hopkins University

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