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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


  • Status: Free Trial
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    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, Responsible AI, OpenAI, ChatGPT, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Business Development, Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Data Quality, Data Pipelines, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, CI/CD, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Microservices, Continuous Delivery, Applied Machine Learning, Extract, Transform, Load, Cloud API, Google Cloud Platform, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    478 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, 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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    5.3K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    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: New
    New
    Status: Free Trial
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    SAS

    AI Literacy: Responsible, Trustworthy, Effective

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Data Ethics, Agentic systems, Discussion Facilitation, Ethical Standards And Conduct, Healthcare Ethics, Regulation and Legal Compliance, Compliance Management, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Ethics, SAS (Software), Risk Analysis, Compliance Training, Analytics, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, LLM Application, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Anthropic Claude, Expense Management, Creative Thinking, Productivity Software, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
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    8.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Generative AI Fundamentals: IBM
  • PyTorch: Fundamentals: DeepLearning.AI
  • Predictive Analytics for Business with H2O in R: Coursera
  • Building Cloud Computing Solutions at Scale: Duke University
  • Creating Multi Task Models With Keras: Coursera
  • Google Prompting Essentials: Google
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Linear Algebra Basics: IIT Roorkee

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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