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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.

Popular Applied Machine Learning Courses and Certifications


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    Y

    Yonsei University

    Deep Learning for Business

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    687 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Politecnico di Milano

    Smart Learning Design

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Interactive Learning, Instructional Design, Innovation, Solution Design, Learning Strategies, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

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    C

    Columbia University

    Blended Learning Toolkit

    Skills you'll gain: Digital pedagogy, Blended Learning, Education Software and Technology, Student Engagement, Learning Management Systems, Digital Transformation, Collaborative Software, Curriculum Development, Teaching, digital literacy, Content Management Systems, Web Design and Development, Web Presence, Content Management, Planning, Research, Auditing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    N

    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Machine Learning Methods, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Model Optimization, Market Dynamics

    3.6
    Rating, 3.6 out of 5 stars
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    134 reviews

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Build Interactive E-Learning Courses

    Skills you'll gain: Multimedia, Learning Management Systems, Course Development, Interactive Learning, Educational Materials, Instructional and Curriculum Design, Interactive Design, Instructional Design, Train The Trainer, No-Code Development, Education Software and Technology, Web Content, Design and Product, Web Design and Development, Data Sharing, Functional Design, Data Import/Export, Content Management

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    E-Learning Development for Trainers

    Skills you'll gain: Learning Management Systems, Surveys, Course Development, Metadata Management, Training and Development, Instructional Design, Dashboard, Interactive Learning, System Configuration, Information Architecture, Digital Content, Content Development and Management, Content Management Systems, Education Software and Technology, Content Management, Management Training And Development, Interactive Design, Multimedia

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Model Optimization, Markov Model, Securities Trading, Model Deployment, Risk Management

    3.4
    Rating, 3.4 out of 5 stars
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    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Planning for Teaching and Learning

    Skills you'll gain: Growth Mindedness, Teaching, Lesson Planning, Pedagogy, Trustworthiness, Student Engagement, Instructional Strategies, Interactive Learning, Personal Development, Learning Theory, Curriculum Planning, Lifelong Learning, Rapport Building, Goal Setting, Relationship Building, Professional Development, Planning, Curiosity, Student-Centred Learning, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
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    306 reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Custom Deep Learning Model Architecture

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Autoencoders, Network Architecture, Model Evaluation, Debugging

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    Establishing Effective Educator-Machine Partnerships

    Skills you'll gain: Innovation, Education Software and Technology, Digital pedagogy, Education and Training, Technology Strategies, Technology Roadmaps

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering (Part 2)

    Skills you'll gain: Mathematical Modeling, Engineering Calculations, Integral Calculus, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Calculus, Mathematical Theory & Analysis, Differential Equations, Mechanics, Trigonometry, Engineering, Geometry, Electrical Engineering

    Intermediate · Course · 1 - 4 Weeks

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

  • Deep Learning for Business: Yonsei University
  • Smart Learning Design: Politecnico di Milano
  • Blended Learning Toolkit: Columbia University
  • Neural Models and Machine Translation: Edureka
  • Reinforcement Learning in Finance: New York University
  • Build Interactive E-Learning Courses: EDUCBA
  • E-Learning Development for Trainers: EDUCBA
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Foundations of Teaching for Learning: Planning for Teaching and Learning: Commonwealth Education Trust
  • Custom Deep Learning Model Architecture: Coursera

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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