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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


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Decision Intelligence, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Data Validation, Performance Measurement

    4.3 stars, 34 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.3 (34) · Beginner · Guided Project · Less Than 2 Hours

  • B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.7 stars, 28 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.7 (28) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.6 stars, 29 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (29) · Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Cloud Deployment, Devops Tools, Continuous Deployment, CI/CD, AI Workflows, Automation

    4 stars, 488 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4 (488) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation

    4.6 stars, 266 reviews, Beginner, Guided Project, Less Than 2 Hours

    ★ 4.6 (266) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    4.2 stars, 57 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API)

    4.5 stars, 96 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (96) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • H

    HRCI

    Learning and Development

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Organizational Development, Needs Assessment, Program Evaluation, Professional Development, Learning Styles

    4.8 stars, 875 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (875) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Model Evaluation, Systems Architecture, Model Optimization, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines

    Advanced · Course · 1 - 3 Months

    Category: Preview
    Preview
  • C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning

    4.3 stars, 6 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.3 (6) · Intermediate · Specialization · 3 - 6 Months

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

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Introduction to Machine Learning with Python: Arizona State University
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Fake News Detection with Machine Learning: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Learning and Development: HRCI
  • Mastering Machine Learning Algorithms using Python: 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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