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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


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    EDUCBA

    Applied Python: Web Dev, Machine Learning & Cryptography

    Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    63 reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity

    Mixed · Course · 1 - 4 Weeks

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    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, Big Data, Feature Engineering, Predictive Modeling, Data Science, Statistical Analysis, Data Preprocessing, Case Studies, Applied Machine Learning, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Model Evaluation, AI Workflows, Cloud Deployment, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    How to Use Lookup Reference Math and Text Functions in Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Microsoft 365, Data Validation

    4.4
    Rating, 4.4 out of 5 stars
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    524 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    40 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Governance, Data Management, AI Workflows, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Model Evaluation, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Application Lifecycle Management, AI Workflows, CI/CD, Model Evaluation, Data Preprocessing, Applied Machine Learning, Automation

    Intermediate · Course · 1 - 4 Weeks

Searches related to math for machine learning

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

  • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • How to Use Lookup Reference Math and Text Functions in Excel: Coursera
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
  • Build your first Machine Learning Pipeline using Dataiku : Coursera

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