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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


  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Attention Mechanism - 繁體中文

    Skills you'll gain: Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate Financial Analysis with AI Pipelines

    Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Configuring MongoDB Atlas with BigQuery Dataflow Templates

    Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Cloud-Based Integration, Data Integration, Data Migration, Data Analysis

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Master Java Build Tools for ML Projects

    Skills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Dependency Analysis

    Advanced · Course · 1 - 4 Weeks

  • R

    Real Madrid Graduate School Universidad Europea

    Futuro de los datos y la tecnología - Echar un vistazo

    Skills you'll gain: Large Language Modeling, Real Time Data, LLM Application, Analytics, Computer Vision, Advanced Analytics, Applied Machine Learning, Reinforcement Learning, Machine Learning Methods, Data-Driven Decision-Making, Data Integration, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Forecast Business Metrics: Uncover Value Drivers

    Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Revenue Forecasting, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Business Metrics, Performance Analysis, Regression Analysis, Data Science, Stakeholder Communications, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate AI Risks: Adopt Smart Predictions

    Skills you'll gain: Model Evaluation, Risk Modeling, Data-Driven Decision-Making, Predictive Modeling, Data Literacy, Risk Analysis, Strategic Decision-Making, Business Analysis, Performance Metric, Applied Machine Learning, Data Synthesis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Embed Everything

    Skills you'll gain: Embeddings, Scikit Learn (Machine Learning Library), Transfer Learning, NumPy, Data Pipelines, Unstructured Data, Applied Machine Learning, Python Programming, Natural Language Processing, Dimensionality Reduction, AI Workflows, Machine Learning Methods, Scripting, Model Evaluation, Scientific Visualization, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Machine Learning Algorithms, Statistical Programming, Model Training, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Image Generation - Bahasa Indonesia

    Skills you'll gain: Generative AI, Generative Model Architectures, Multimodal Prompts, Model Training, Applied Machine Learning, Google Cloud Platform, Cloud Deployment, Unstructured Data

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Modeling, Data Store, Feature Engineering, Applied Machine Learning, Machine Learning Methods, AI Workflows, Data Storage, Data Management, Data Processing

    Intermediate · Course · 1 - 4 Weeks

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

  • Apply Test-Driven ML Code: Coursera
  • Attention Mechanism - 繁體中文: Google Cloud
  • Automate Financial Analysis with AI Pipelines: Coursera
  • Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
  • Master Java Build Tools for ML Projects: Coursera
  • Futuro de los datos y la tecnología - Echar un vistazo : Real Madrid Graduate School Universidad Europea
  • Forecast Business Metrics: Uncover Value Drivers: Coursera
  • Evaluate AI Risks: Adopt Smart Predictions: Coursera
  • Embed Everything: Coursera
  • Classification and Planned Experiments: Arizona State 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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