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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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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Data Ethics, Jenkins, AI Security, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

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    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

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    New
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    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Machine Learning Software, Statistical Machine Learning, Data Validation, Data Processing, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    5
    Rating, 5 out of 5 stars
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    49 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Advanced · Course · 1 - 4 Weeks

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    University of Michigan

    Data Augmented Technology Assisted Medical Decision Making

    Skills you'll gain: Healthcare Ethics, Statistical Methods, Statistical Machine Learning, Patient Communication, Health Care Procedure and Regulation, Clinical Research, Model Evaluation, Data Ethics, Probability & Statistics, Health Technology, Health Informatics, Decision Intelligence, Health Policy, Responsible AI, Machine Learning, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

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

  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Real-World Applications & Model Deployment in Java: Board Infinity
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Machine Learning and its Applications: University of Glasgow
  • Applied Unsupervised Learning in Python: University of Michigan
  • Data Augmented Technology Assisted Medical Decision Making: University of Michigan
  • Machine Learning for Marketers: University of Colorado System
  • Practical Machine Learning on H2O: H2O.ai

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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