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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


  • 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
  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Developing Relationships

    Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Teaching, Community Development, Education and Training, Community Outreach, Student Engagement, Team Collaboration, Ethical Standards And Conduct, Policy Development

    ★ 4.9 (1.1K) · Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Continuous Delivery, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Verification And Validation, AI Workflows, Business Priorities, Performance Analysis, Strategic Decision-Making

    Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • 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
  • 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

  • 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

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
  • 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
  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture

    Advanced · Course · 1 - 3 Months

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

  • Creating a Team Culture of Continuous Learning: University of Pennsylvania
  • Foundations of Teaching for Learning: Developing Relationships: Commonwealth Education Trust
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA

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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