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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


  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Prometheus (Software), Cloud Infrastructure, Load Balancing, Prompt Engineering, Kubernetes, Network Performance Management, Network Monitoring, Cloud Computing Architecture, Firewall, Containerization, Application Performance Management, Virtual Networking, Network Architecture, Network Planning And Design, Network Security, Network Routing, Site Reliability Engineering, Virtual Private Networks (VPN)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Android Development, Data Preprocessing, Data Processing, Computer Vision, Swift Programming, MLOps (Machine Learning Operations), Model Evaluation, Mobile Development, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Analyze Supply Chain Demand Trends Using Heatmaps & Clusters

    Skills you'll gain: Advanced Analytics, Supply Chain Management, Business Analytics

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Software Design, Scrum (Software Development), Information Technology, Computer Hardware, Software Development Methodologies, Software Design Patterns, Agile Methodology, Agile Project Management, Sprint Planning, Risk Management, Leadership, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Intermediate · Course · 1 - 4 Weeks

  • J

    JetBrains

    Python: Mastering NumPy Essentials

    Skills you'll gain: NumPy, Python Programming, Linear Algebra, Numerical Analysis, Data Manipulation, Integrated Development Environments, Data Science, Data Management, Software Development Tools, Software Development, Machine Learning, Engineering, Scientific, and Technical Instruments

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build & Optimize TensorFlow ML Workflows

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)

    Intermediate · Course · 1 - 3 Months

  • S

    SkillUp

    Data Science for Healthcare

    Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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

  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Preparing for Google Cloud Certification: Cloud Network Engr: Google Cloud
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Analyze Supply Chain Demand Trends Using Heatmaps & Clusters: EDUCBA
  • IBM IT Scrum Master: IBM
  • Automate ML Pipelines for Peak Performance: Coursera
  • Python: Mastering NumPy Essentials: JetBrains
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Building Reliable LLM Systems: 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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