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  • Machine Learning Algorithms

Results for "machine learning algorithms"


  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Data Fairness and Bias

    Skills you'll gain: Data Ethics, Responsible AI, Data Collection, Game Theory, Machine Learning, Algorithms, Artificial Intelligence, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Data Quality, Data Pipelines, Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    204 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Distributed Computing, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Performance Tuning, NumPy, Object Oriented Programming (OOP), Heat Maps, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    246 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Statistical Modeling, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Data Analysis, Image Analysis, Pandas (Python Package), Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Cloud Management, Artificial Neural Networks, Information Privacy, Supervised Learning, Virtual Machines, Application Deployment, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    4.2
    Rating, 4.2 out of 5 stars
    ·
    596 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Network Architecture, Algorithms, Statistical Methods, Performance Tuning, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Modeling in AWS

    Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

    2.6
    Rating, 2.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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1…838485…546

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

  • Prediction and Control with Function Approximation: University of Alberta
  • Artificial Intelligence Data Fairness and Bias : LearnQuest
  • IBM AI Enterprise Workflow: IBM
  • PyTorch: Fundamentals: DeepLearning.AI
  • DevOps, DataOps, MLOps: Duke University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • AI and Public Health: DeepLearning.AI
  • Introduction to Neural Networks and PyTorch: IBM
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Introduction to Neural Networks: Johns Hopkins University

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