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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: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232K reviews

      Beginner · Course · 1 - 3 Months

    • Y

      Yonsei University

      Deep Learning for Business

      Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      683 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Predictive Modeling, Data Science, Data Import/Export, Programming Principles, Web Scraping, Python Programming, Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Analysis Software, Web Scraping, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      257 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      807 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Scrum (Software Development), Application Deployment, Linux, Data Import/Export, Programming Principles, Web Scraping, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Cloud Computing, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Managing Machine Learning Projects

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      254 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      77 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Deep Learning for Business: Yonsei University
    • Applied Data Science: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Deep Learning and Reinforcement Learning: IBM
    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Applied Software Engineering Fundamentals: IBM
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Managing Machine Learning Projects: Duke University

    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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