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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


  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning and Data Analytics Part 2

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Artificial Intelligence, Model Optimization, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Microsoft Azure, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    McMaster University

    Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mental Concentration, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Cognitive flexibility, Relationship Building, Persistence, Self-Motivation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advancing Your Career in AI and Machine Learning Engineering

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Machine Learning Algorithms, AI Workflows

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Quality, Data Cleansing, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Machine Learning Algorithms, Machine Learning Methods, Data Management, Model Training, Data Import/Export, Data Pipelines, Development Environment, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Build a Machine Learning Image Classifier with Python: Coursera
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Advancing Your Career in AI and Machine Learning Engineering: Coursera
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

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