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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


  • J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis

    ★ 4.8 (13) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Teacher

    Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Education and Training, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Diversity Awareness, Cultural Responsiveness, Self-Awareness

    ★ 4.7 (1.1K) · Mixed · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Creating a Team Culture of Continuous Learning

    Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Team Management, Innovation, Teamwork, Organizational Development, Organizational Effectiveness, Organizational Leadership, Dealing With Ambiguity, Organizational Structure, Adaptability, Performance Analysis, Creativity, Discussion Facilitation, Culture

    ★ 4.6 (206) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Project Performance, Design, Software Installation

    ★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • P

    Packt

    ReactJS Development and Project-Based Learning

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Cloud Hosting, Front-End Web Development, React.js, Cloud Deployment, Javascript, Full-Stack Web Development, Web Applications, Cloud Security, Hypertext Markup Language (HTML), Remote Access Systems

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Azure: Create a Virtual Machine and Deploy a Web Server

    Skills you'll gain: Virtual Machines, Microsoft Azure, Infrastructure As A Service (IaaS), Cloud Infrastructure, Cloud Computing Architecture, Virtualization and Virtual Machines, Cloud Deployment, Firewall, Cloud Computing, Network Security, Virtual Networking, Web Servers, Network Administration, Remote Access Systems, Application Deployment

    ★ 4.5 (225) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • C

    Coursera

    ML Data Pipelines and Communicating AI Insights

    Skills you'll gain: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, Pandas (Python Package), Data Storytelling, Data Presentation, Data Preprocessing, Data Processing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Model Training, Data Visualization, Data Governance, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • B

    Board Infinity

    Cloud Platforms for ML: AWS, Azure & GCP Deployment

    Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, Public Cloud, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Model Training, Version Control, AI Workflows, Software Configuration Management, Jupyter, Memory Management, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Object Oriented Programming (OOP), Object Oriented Design

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Colorado Boulder

    Description Design for Interactive Learning Resources

    Skills you'll gain: Web Content Accessibility Guidelines, Education Software and Technology, Design Reviews, Interactive Design, User Interface (UI), Interaction Design, Usability, Software Design Patterns, Usability Testing, Technical Documentation, Design Strategies, Technical Writing, Simulations, Writing

    Beginner · Course · 1 - 3 Months

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

  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
  • Creating a Team Culture of Continuous Learning: University of Pennsylvania
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Deep Learning with Keras and Practical Applications: Packt
  • ReactJS Development and Project-Based Learning: Packt
  • Azure: Create a Virtual Machine and Deploy a Web Server: Coursera
  • ML Data Pipelines and Communicating AI Insights: Coursera
  • Cloud Platforms for ML: AWS, Azure & GCP Deployment: Board Infinity
  • Optimize ML Dev: Version, Reproduce, and Save: 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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