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
University of Colorado Boulder
Skills you'll gain: Computer Vision, Power Electronics, Convolutional Neural Networks, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Electronic Systems, Deep Learning, Systems Design, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Technical Design, electromagnetics, Electrical Power, Electrical Systems
Ball State University
Skills you'll gain: Data Ethics, Full-Stack Web Development, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Statistical Methods, Data Wrangling, Theoretical Computer Science, Application Security, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Analytics, Natural Language Processing, R Programming
Status: NewSkills you'll gain: 3D Modeling, 3D Assets, Computer Graphic Techniques, Virtual Reality, Game Design
In summary, here are 3 of our most popular applied machine learning courses
- Power Electronics Graduate Certificate:Â University of Colorado Boulder
- Master of Science in Computer Science:Â Ball State University
- Blender Geometry Nodes – Procedural Bridge Basics: Packt
