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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
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    3.7
    Rating, 3.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Medical Science and Research, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Generative Model Architectures, Deep Learning, Health Policy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    625 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Machine Learning Methods, Model Training, Unsupervised Learning, Machine Learning, Data Synthesis, Supervised Learning

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, 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
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Deployment, MLOps, and Generative AI in Azure

    Skills you'll gain: Model Optimization, Generative Model Architectures, Model Deployment, Azure DevOps Pipelines, Large Language Modeling, Model Training, Cloud Deployment, CI/CD, Fine-tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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

  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Machine Learning with Small Data Part 1: Northeastern University
  • Core Machine Learning & Evaluation: Packt
  • Machine Learning: Classification: University of Washington
  • Machine Learning with Python: Case Studies: EDUCBA
  • ML Concepts, Models & Workflow Essentials: Coursera
  • 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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