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
Knowledge Accelerators
Skills you'll gain: Power BI, Business Intelligence, Data Visualization, Business Reporting, Business Analytics, Data Analysis, Data Synthesis, Excel Formulas, Data Manipulation, Collaborative Software, Trend Analysis, Data Management, Data Quality
Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export
Skills you'll gain: Dashboard, Splunk, Role-Based Access Control (RBAC), Data Transformation, Data Analysis, Statistical Visualization, Infrastructure Architecture, Data Visualization Software, Statistical Analysis, Anomaly Detection, Exploratory Data Analysis, Configuration Management, Data Manipulation, Security Information and Event Management (SIEM), Scatter Plots, Distributed Computing, Authentications, Real Time Data, Software Installation, Query Languages
Skills you'll gain: Stakeholder Engagement, Continuous Delivery, User Story, Risk Management, Project Risk Management
Berklee
Skills you'll gain: Music Theory, Music, Musical Composition, Music Performance, Instrumental Music, Creativity, Coordination, Mental Concentration
Logical Operations
Skills you'll gain: Virtual Machines, Debugging, Application Development, Development Environment, Software Installation, Python Programming, Programming Principles, Computer Programming, Software Development
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Scatter Plots, Technical Communication, Histogram
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Retrieval-Augmented Generation, Natural Language Processing, Model Evaluation, Data Cleansing, Transfer Learning, Scalability
Johns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Skills you'll gain: UI Components, Business Requirements, Workflow Management, Product Requirements, Code Review, Project Design, Blogs, E-Commerce, Front-End Web Development, Software Installation, Content Management Systems, System Configuration, Program Implementation
Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Animations, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming
Skills you'll gain: Full-Stack Web Development, Version Control, Web Development, Cloud Deployment, OAuth, Web Development Tools, Database Management, Bootstrap (Front-End Framework), Restful API, Web Services, Spring Framework, TypeScript, Software Development, Application Development, Web Servers, NoSQL
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- From Excel to Power BI:Â Knowledge Accelerators
- Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG:Â Packt
- Analyze and Manage Enterprise Data Analytics Systems:Â EDUCBA
- Agile Release Management for Scrum and Kanban Teams: Packt
- How to Play Guitar:Â Berklee
- PCEP: Python Setup:Â Logical Operations
- Charts: Visualize Data Like a Pro:Â Coursera
- Prompt Engineering Generative AI & LLM Models Fundamentals:Â Whizlabs
- Algebra: Elementary to Advanced - Equations & Inequalities:Â Johns Hopkins University
- Build and Customize an Online Store with PrestaShop:Â EDUCBA
