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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

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Blended Language Learning: Design and Practice for Teachers

    Skills you'll gain: Blended Learning, Course Development, Web Content Accessibility Guidelines, Education Software and Technology, Digital pedagogy, Language Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    260 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

    Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Learning Management Systems, Digital pedagogy, Technology Solutions, Disabilities, Human Computer Interaction, Emerging Technologies, Electronic Media, Gerontology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    195 reviews

    Mixed · Course · 1 - 3 Months

  • R

    Rice University

    Practical Metacognition for Learning

    Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Curiosity and Lifelong Learning

    Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Digital pedagogy, Open Mindset, Professional Development, Mental Concentration, Personal Development, Persistence, Self-Motivation, Multitasking, Learning Styles, Productivity, AI Personalization, Time Management

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

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

  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Deep Learning with Keras and Tensorflow: IBM
  • Foundations of Model Optimization and Deep Learning: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Blended Language Learning: Design and Practice for Teachers: University of Colorado Boulder
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign
  • Learning Technologies Foundations and Applications: University of Illinois Urbana-Champaign
  • Practical Metacognition for Learning: Rice University

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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