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    Results for "machine learning methods"

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: Reinforcement Learning, Image Analysis, Machine Learning, Deep Learning, Data Validation, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, PyTorch (Machine Learning Library), Natural Language Processing, Unsupervised Learning, Computer Vision, Python Programming, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Statistical Analysis, Artificial Neural Networks, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      29 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      949 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: MLOps (Machine Learning Operations), Natural Language Processing, Computer Vision, Google Cloud Platform, Large Language Modeling, Reinforcement Learning, Tensorflow, Image Analysis, Applied Machine Learning, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Systems Design, Cloud Computing Architecture, Software Architecture, Cloud API, Hybrid Cloud Computing, Machine Learning, Deep Learning, Machine Learning Algorithms, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Feature Engineering, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Python Programming, NumPy, Statistical Modeling, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Analysis, Computer Science, Artificial Intelligence, Unsupervised Learning, Classification And Regression Tree (CART), Predictive Modeling, Reinforcement Learning, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Feature Engineering, Unsupervised Learning, Applied Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Supervised Learning, Computer Vision, Image Analysis, Regression Analysis, Decision Tree Learning, Data Processing, Classification And Regression Tree (CART), Machine Learning, Predictive Modeling, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Data Cleansing, Deep Learning, Random Forest Algorithm

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      488 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Developing Machine Learning Solutions

      Skills you'll gain: AWS SageMaker, Amazon Web Services, Scalability, MLOps (Machine Learning Operations), Cloud Computing, Machine Learning, Applied Machine Learning, Predictive Modeling, Statistical Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of London

      Machine Learning for All

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Ethics, Predictive Modeling, Feature Engineering, Machine Learning Algorithms, Supervised Learning, Data Collection, Software Testing, Development Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Data Processing, Systems Design, Machine Learning, Unstructured Data, Data Quality, Applied Machine Learning, Data Validation, Predictive Modeling, Feature Engineering, System Monitoring

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Unsupervised Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Data Analysis, Data Cleansing, Exploratory Data Analysis, Regression Analysis, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Science, Artificial Intelligence, Applied Machine Learning, Statistical Analysis, Statistical Machine Learning, Data Transformation, Predictive Modeling, Machine Learning, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to machine learning methods

    advanced methods in machine learning applications
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    In summary, here are 10 of our most popular machine learning methods courses

    • Introduction to Machine Learning: Duke University
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Machine Learning Introduction for Everyone: IBM
    • Applied Machine Learning: Johns Hopkins University
    • MLOps | Machine Learning Operations: Duke University
    • Developing Machine Learning Solutions: Amazon Web Services
    • Machine Learning for All: University of London

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