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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: New
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    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Spatial Analysis, 3D Data & Machine Learning

    Skills you'll gain: Model Evaluation, Spatial Analysis, Spatial Data Analysis, Geostatistics, Geospatial Mapping, Model Training, Geospatial Information and Technology, Geographic Information Systems, Applied Machine Learning, Image Analysis, Feature Engineering, Machine Learning Methods, Deep Learning, Convolutional Neural Networks, Machine Learning, Data Processing, Fine-tuning, Data Analysis, Random Forest Algorithm

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment

    3.8
    Rating, 3.8 out of 5 stars
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    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Model Training, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Model Optimization, Classification Algorithms, Statistical Analysis, Data Science, Machine Learning Methods, Forecasting, Statistical Methods, Data Preprocessing, Data Mining, Machine Learning, Supervised Learning, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering

    4.6
    Rating, 4.6 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Code Reusability, Programming Principles, Data Import/Export, Scripting, Data Analysis, Scripting Languages, Data Processing, Computational Logic, Data Manipulation, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Getting Started with BigQuery Machine Learning

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Model Training, Analytics, Cloud Computing, Predictive Analytics, Machine Learning, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
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    31 reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

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    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Diagnostic Tests, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge, Algorithms, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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

  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Spatial Analysis, 3D Data & Machine Learning: Coursera
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Interpretable machine learning applications: Part 5: Coursera
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Level Up: Java-Powered Machine Learning: Coursera
  • Getting Started with BigQuery Machine Learning: Google Cloud
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Machine Learning with PySpark: Recommender System: Coursera

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