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
Ball State University
Skills you'll gain: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Logistic Regression, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Artificial Intelligence, Analytics, Natural Language Processing, R Programming
University of Illinois at Urbana-Champaign
Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Credit Risk, Marketing, Machine Learning Algorithms, Business Strategy, Risk Management, Revenue Recognition, Financial Auditing, Variance Analysis, Entrepreneurship, Data Governance, Generative AI, Financial Market, Strategic Decision-Making, Statistical Inference
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
- Master of Science in Data Science:Â Ball State University
- Graduate Certificate in Accounting Data Analytics:Â University of Illinois at Urbana-Champaign
- Blender Geometry Nodes – Procedural Bridge Basics: Packt
