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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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    P

    Politecnico di Milano

    Designing Learning Innovation: an introduction

    Skills you'll gain: Teaching, Pedagogy, Student Engagement, Instructional and Curriculum Design, Instructional Strategies, Instructional Design, Lesson Planning, Curriculum Planning, Student-Centred Learning, Innovation, Learning Theory, Quality Assessment, Infographics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
    Free Trial
    E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

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    New
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    B

    Board Infinity

    Building Real-Time ML Systems: APIs, Models, and Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Real Time Data, Containerization, Docker (Software), CI/CD, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Time Series Analysis and Forecasting, Exploratory Data Analysis, Spatial Data Analysis, Machine Learning, Continuous Monitoring

    Intermediate · 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 Tools, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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

    Edureka

    Feature Engineering and Feature Stores for AI and ML

    Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Creativity, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    874 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Arduino Bootcamp - Learning Through Projects

    Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Electronic Hardware, Telecommunications, Hardware Design, Program Development, Communication Systems, Display Devices, Embedded Software, Integrated Development Environments, Electronic Systems, Embedded Systems, Electronic Components, Development Environment, Electrical Wiring, Programming Principles, Open Source Technology

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    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, Containerization, 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

1…565758…834

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

  • Designing Learning Innovation: an introduction: Politecnico di Milano
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • AutoML: Build ML Models without Code: Edureka
  • Building Real-Time ML Systems: APIs, Models, and Deployment: Board Infinity
  • Test & Debug Java ML Pipelines: Coursera
  • Feature Engineering and Feature Stores for AI and ML: Edureka
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Evaluate & Swap Models in Java ML: Coursera
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA

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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