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
Politecnico di Milano
Skills you'll gain: Educational Materials, Classroom Management, Course Development, Blended Learning, Teaching, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
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
University of Colorado Boulder
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
University of Illinois Urbana-Champaign
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
Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
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
University of Colorado Boulder
Skills you'll gain: Blended Learning, Course Development, Web Content Accessibility Guidelines, Education Software and Technology, Digital pedagogy, Language Learning
University of Illinois Urbana-Champaign
Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation
Rice University
Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- The Learning Innovation Network:Â Politecnico di Milano
- Fine-tune Multimodal Models with Transfer Learning:Â Coursera
- Foundations of Model Optimization and Deep Learning:Â Packt
- Deep Learning Applications for Computer Vision:Â University of Colorado Boulder
- Learning Technologies Foundations and Applications:Â University of Illinois Urbana-Champaign
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Deep Learning with Keras and Tensorflow:Â IBM
- Blended Language Learning: Design and Practice for Teachers:Â University of Colorado Boulder
- e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age:Â University of Illinois Urbana-Champaign
- Practical Metacognition for Learning:Â Rice University
