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  • Applied Machine Learning

Applied Machine Learning Courses Online

Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.


Explore the Applied Machine Learning Course Catalog


  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Working With Children, Instructional Strategies, Adult Education, Student Engagement, Professional Development, Collaboration, Curriculum Development, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    848 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technology Roadmaps

    4.1
    Rating, 4.1 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Version Control, File Management, Scrum (Software Development), Application Deployment, Software Engineering, Linux, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, Agile Methodology, Behavior-Driven Development, Serverless Computing, DevOps, Secure Coding, Grafana, System Monitoring

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    New Learning: Principles and Patterns of Pedagogy

    Skills you'll gain: Pedagogy, Education and Training, Teaching, Blended Learning, Human Learning, Differentiated Instruction, Higher Education, Instructional Strategies, Education Software and Technology, Cultural Diversity, Lifelong Learning, Curriculum Development, Visionary, Student Engagement, Adaptability, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    342 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Applied Calculus with Python

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

    4.9
    Rating, 4.9 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

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

  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Applied Software Engineering Fundamentals: IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • IBM Applied DevOps Engineering: IBM
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • New Learning: Principles and Patterns of Pedagogy : University of Illinois Urbana-Champaign
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt

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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