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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • 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: 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: 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

    • Status: New
      New
      Status: Preview
      Preview
      O

      O.P. Jindal Global University

      Machine Learning

      Skills you'll gain: Tensorflow, Python Programming, Scikit Learn (Machine Learning Library), Image Analysis, Matplotlib, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Natural Language Processing, Data Science, NumPy, Deep Learning, Data Analysis, Predictive Modeling, Supervised Learning, Artificial Neural Networks, Pandas (Python Package), Computer Vision, Regression Analysis

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

      Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Pedagogy, Multimedia, Innovation, Digital Transformation, Digital Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Calculus, Applied Mathematics, Advanced Mathematics, A/B Testing, Statistics, Probability, Numerical Analysis, Mathematical Modeling, Statistical Analysis, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Generative AI Agents, Generative AI, OpenAI, ChatGPT, Business Process Automation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · 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
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Feature Engineering, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis, Statistical Modeling, Dimensionality Reduction, Data Validation, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Generative AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Governance, Data Pipelines, Dataflow, Workflow Management, Application Deployment, Deep Learning, Managed Services, Cloud Solutions, Machine Learning Methods, Data Processing, Cloud Computing, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Probability & Statistics, Integral Calculus, Machine Learning Methods, Statistical Analysis, Statistics, Advanced Mathematics, Jupyter, Machine Learning Algorithms, Data Science, Mathematical Modeling, Applied Mathematics, Graph Theory, Artificial Neural Networks, Python Programming, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Machine Learning learners also search

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    1234…487

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

    • Machine Learning Introduction for Everyone: IBM
    • Introduction to Machine Learning: Duke University
    • Machine Learning for All: University of London
    • Machine Learning: O.P. Jindal Global University
    • Python for Data Science, AI & Development: IBM
    • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Artificial Intelligence (AI): IBM
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Machine Learning with Python: IBM

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

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