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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

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    ★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • T

    The University of Edinburgh

    Learning for Sustainable Futures

    Skills you'll gain: Systems Thinking, Sustainable Systems, Sustainable Development, Environmental Issue, Education and Training, Teaching, Socioeconomics, Social Impact, Pedagogy, Action Oriented, Climate Change Mitigation

    Beginner · Course · 1 - 3 Months

    Category: Free
    Free
  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning

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

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    ★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Oral Comprehension, Traffic Flow Optimization, Vocabulary, Public Works, Literacy, Water Quality, Language Learning, Environmental Engineering, Robotics, Display Devices, Grammar, Biochemistry

    ★ 4.8 (111) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    ★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    ★ 4.6 (90) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Jupyter

    ★ 4.9 (18) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning

    ★ 4.7 (653) · Intermediate · 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

  • Deep Learning Model Engineering and Optimization: Coursera
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Learning for Sustainable Futures: The University of Edinburgh
  • Fundamentals of Deep Learning: Whizlabs
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
  • Apply Test-Driven ML Code: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder

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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