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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

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    ★ 4.5 (100) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • 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, Machine Learning Software, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Process Driven Development, Dependency Analysis, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • E

    Edureka

    Delta Lake and Medallion Architecture for AI and ML

    Skills you'll gain: PySpark, Data Lakes, Databricks, Data Pipelines, Apache Spark, Data Architecture, Data Transformation, Data Infrastructure, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Processing, Data Manipulation, Data Cleansing, Data Validation, Data Maintenance, Data Management, Python Programming, Data Entry, SQL, Data Collection

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Use Wakelet to Curate Learning Collections

    Skills you'll gain: Information Architecture, Education Software and Technology, Content Management, Collaborative Software

    Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • P

    Packt

    Foundations of Deep Reinforcement Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming, Algorithms, Model Evaluation

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular applied machine learning courses

  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Build Robust Java ML Models with Entropy: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Learn to Choose the Right ML Model: Coursera
  • Master Java Build Tools for ML Projects: Coursera
  • Delta Lake and Medallion Architecture for AI and ML: Edureka
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt

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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