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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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    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
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    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

  • Status: Free
    Free
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    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
    Rating, 4.5 out of 5 stars
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    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    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

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    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

  • Status: Free Trial
    Free Trial
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    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

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    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

  • Status: Free Trial
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    EDUCBA

    AWS Serverless & AI/ML Project-Based Cloud Specialization

    Skills you'll gain: Serverless Computing, API Gateway, Image Analysis, Cloud-Based Integration, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, Restful API, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Extensible Languages and XML, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    53K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    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
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    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
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    Packt

    Deep Learning, NLP, and AI Applications

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

    Advanced · Course · 1 - 3 Months

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

  • Deep Learning for AI Part 1: Northeastern University
  • Use Wakelet to Curate Learning Collections: Coursera
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Delta Lake and Medallion Architecture for AI and ML: Edureka
  • Learn to Choose the Right ML Model: Coursera
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • AWS Serverless & AI/ML Project-Based Cloud Specialization: EDUCBA
  • AI For Everyone: DeepLearning.AI
  • Master Java Build Tools for ML Projects: 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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