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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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    AI CERTs

    AI for Mining

    Skills you'll gain: Model Evaluation, Data Analysis, Applied Machine Learning, Environmental Regulations, Environment and Resource Management, Geospatial Information and Technology, Computer Vision, Environment Health And Safety, Environment, Operations, Operations Management, Workforce Development

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
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    831 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

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    AI CERTs

    AI for Medical Professionals

    Skills you'll gain: AI Personalization, Applied Machine Learning, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
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    978 reviews

    Advanced · Course · 1 - 3 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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    SkillUp

    Foundations of AI in Healthcare

    Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    76 reviews

    Mixed · Course · 1 - 3 Months

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    Amazon Web Services

    SageMaker Unified Studio Foundations for Data Analytics

    Skills you'll gain: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • AI for Mining: AI CERTs
  • Recommender Systems: University of Minnesota
  • Predictive Analytics for Business with H2O in R: Coursera
  • AI Workflow: Enterprise Model Deployment: IBM
  • AI for Medical Professionals: AI CERTs
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Developing AI Applications on Azure: LearnQuest
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Foundations of AI in Healthcare: SkillUp
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins 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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