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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
    Free
    C

    Coursera

    Inspire Student Learning with Showbie

    Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Building Demand Forecasting with BigQuery ML

    Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Forecasting, Model Training, Google Cloud Platform, Predictive Analytics, Predictive Modeling, Big Data, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Cloud Storage

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, Continuous Deployment, DevOps, Debugging, Code Coverage, Test Engineering, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Transfer Learning and Fine-Tuning for AI Models

    Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Solving ML Regression Problems with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Supervised Learning, Data Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

1…565758…834

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

  • Inspire Student Learning with Showbie: Coursera
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • Building Demand Forecasting with BigQuery ML: Google Cloud
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Test & Debug Java ML Pipelines: Coursera
  • Validate and Explain Your ML Models: Coursera
  • Choose Optimal Data Structures for ML: Coursera
  • Deep Learning & Modern AI Architectures: Packt
  • Transfer Learning and Fine-Tuning for AI Models: Edureka
  • Solving ML Regression Problems with AWS AutoGluon: Coursera

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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