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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


  • 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

    Category: New
    New
    Status: Free Trial
    Free Trial
  • 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

    Category: New
    New
    Category: Preview
    Preview
  • M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    ★ 4.9 (11) · Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Empathy & Emotional Intelligence, Pedagogy, Compassion, Empathy, Tenacity, Personal Development, Persistence, Relationship Building

    ★ 4.7 (715) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • 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

    Category: Preview
    Preview
  • C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Medical Records, Data Mining, Medical Coding, Responsible AI, AI Security, Electronic Medical Record, Predictive Modeling, Patient Flow, Predictive Analytics, Medical Privacy, Machine Learning

    ★ 4.4 (36) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • C

    Coursera

    Choose Cost-Effective ML Algorithms Fast

    Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Run Chart, Memory Management, Analysis, Cost Management

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • C

    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • U

    University of Glasgow

    6G Vision: ML, Intelligent Surfaces & Optical Networks

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, AI Integrations, Information Technology, Machine Learning, Trustworthiness

    ★ 4.8 (8) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: AI Personalization, Generative AI, AI powered creativity, Education Software and Technology, AI literacy, Instructional Design, AI Integrations, Design Strategies, Content Creation, Emerging Technologies, Professional Development

    ★ 4.5 (53) · Beginner · Course · 1 - 4 Weeks

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

  • AutoML: Build ML Models without Code: Edureka
  • Building Real-Time ML Systems: APIs, Models, and Deployment: Board Infinity
  • Develop Clustering Models with Azure ML Designer: Microsoft
  • The Teacher's Social and Emotional Learning: University of Colorado Boulder
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Evaluate and Create ML Workflows Visually: Coursera
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Choose Cost-Effective ML Algorithms Fast: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: 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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