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
Status: NewSkills you'll gain: 3D Modeling, 3D Assets, Computer Graphic Techniques, Virtual Reality, Game Design
Northeastern University
Skills you'll gain: Data Storytelling, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing
In summary, here are 3 of our most popular applied machine learning courses
- Blender Geometry Nodes – Procedural Bridge Basics: Packt
- AI Agent Development Fundamentals: Coursera
- Master of Science in Data Analytics Engineering: Northeastern University
