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
National Taiwan University
Skills you'll gain: Robotics, Automation Engineering, Mechanical Engineering, Applied Mathematics, Control Systems, Linear Algebra, Mathematical Modeling, Spatial Analysis
University of California, Davis
Skills you'll gain: Adaptability, Resilience, Personal Attributes, Professional Development, Action Oriented, Overcoming Obstacles, Self-Awareness, Cognitive flexibility, Growth Mindedness, Personal Development, Relationship Building, Plan Execution, Composure, Productivity, Planning, Behavioral Management, Positivity, Optimism
Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation
University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Computational Thinking, Development Environment
Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Skills you'll gain: OpenShift, Kubernetes, Cloud-Native Computing, Cloud Deployment, Application Deployment, Cloud Applications, Containerization, Scalability, Cloud Platforms, Cloud Development, Development Environment, Docker (Software), Cloud Computing, Continuous Deployment, YAML, Virtual Networking, Application Performance Management, Configuration Management, System Monitoring, Network Routing
DeepLearning.AI
Skills you'll gain: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
University of Michigan
Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
University of Toronto
Skills you'll gain: Swift Programming, iOS Development, Apple iOS, Apple Xcode, Mobile Development, Objective-C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Image Analysis, Computer Programming
Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, LLM Application, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Application Design, Machine Learning, API Design, Model Evaluation, Deep Learning
In summary, here are 10 of our most popular applied machine learning courses
- 機器人學一 (Robotics (1)): National Taiwan University
- Adaptability and Resiliency: University of California, Davis
- Introduction to NoSQL Databases: IBM
- Advanced Algorithms and Complexity: University of California San Diego
- Программирование для всех (начало работы с Python): University of Michigan
- Data Scientist Career Guide and Interview Preparation: IBM
- Cloud-Native Development with OpenShift and Kubernetes: Red Hat
- Open Source Models with Hugging Face: DeepLearning.AI
- Regression and Classification: University of Colorado Boulder
- Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
