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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


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    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    53 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Futuro de los datos y la tecnología - Echar un vistazo

    Skills you'll gain: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, AI Enablement, Reinforcement Learning, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    I

    IIT Roorkee

    Linear Algebra Basics

    Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Machine Learning, Data Science, Advanced Mathematics, Applied Mathematics, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, AI Enablement, Digital pedagogy, Learning Management Systems, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Ethical Standards And Conduct, Information Privacy, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Generative AI for Project Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Google Gemini, Project Management, LLM Application, AI Enablement, Project Management Life Cycle, Case Studies, Team Oriented, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, AI Workflows, Deep Learning, Risk Management, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    654 reviews

    Intermediate · Course · 1 - 4 Weeks

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    A

    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, AI Personalization, Generative AI, Email Automation, LLM Application, Data Analysis, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    5.9K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Futuro de los datos y la tecnología - Echar un vistazo : Real Madrid Graduate School Universidad Europea
  • Computational Neuroscience: University of Washington
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Linear Algebra Basics: IIT Roorkee
  • Generative AI for Educators: IBM
  • Generative AI for Project Managers: IBM
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute

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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