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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.


More to explore:

Popular Applied Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    ReactJS Development and Project-Based Learning

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Cloud Hosting, Front-End Web Development, React.js, Javascript, Web Development Tools, Full-Stack Web Development, Web Applications, Cloud Security, Hypertext Markup Language (HTML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Generative AI for Learning Design Activities

    Skills you'll gain: Generative AI, Prompt Engineering, Course Development, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development, digital literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Drive Engagement, Classroom Management, Mathematics Education, Learning Management Systems, Creative Problem-Solving, Professional Development, Problem Solving, Project Design

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Developing Relationships

    Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Classroom Management, Teaching, Community Outreach, Student Engagement, Ethical Standards And Conduct

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning RNN & LSTM: Stock Price Prediction

    Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Creating a Team Culture of Continuous Learning

    Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Innovation, Organizational Development, Organizational Effectiveness, Creative Thinking, Problem Solving, Adaptability, Decision Making, Culture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    192 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Skillshare

    AI Video Avatars: Launch Your Automated Social Media Machine

    Skills you'll gain: Animations, ChatGPT, Generative AI, Education Software and Technology, AI Personalization, Prompt Engineering, AI Product Strategy, Scripting, AI Workflows, Storyboarding

    3.1
    Rating, 3.1 out of 5 stars
    ·
    7 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Learning Experience Design: Orientation to the Profession: University of Michigan
  • ReactJS Development and Project-Based Learning: Packt
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Using Generative AI for Learning Design Activities : University of Michigan
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Foundations of Teaching for Learning: Developing Relationships: Commonwealth Education Trust
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Introduction to Artificial Intelligence (AI): 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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