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
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Skills you'll gain: Simulation and Simulation Software, Programmable Logic Controllers, Industrial Engineering, Control Systems, Electronic Hardware, Data Structures, Data Management
Skills you'll gain: Digital Design, Design Elements And Principles, Creativity, Peer Review, Color Theory
Universitat Politècnica de València
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
University of Lausanne
Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies
Skills you'll gain: Prompt Engineering, ChatGPT, Responsible AI, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Application Development, Business Process Automation, Web Applications, Scripting, Python Programming, Test Script Development, Tool Calling, AI Enablement, Full-Stack Web Development, GitHub, Jupyter
Skills you'll gain: 3D Modeling, 3D Assets, Unreal Engine, Computer Graphics, Computer Graphic Techniques, Animation and Game Design, Graphical Tools, Virtual Environment, Data Import/Export, Image Quality, Performance Tuning, Content Management
Skills you'll gain: Adobe InDesign, Layout Design, Graphic and Visual Design, Typography, Style Guides, Graphic Design, Technical Documentation, Data Import/Export
University of Michigan
Skills you'll gain: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
Skills you'll gain: ChatGPT, OpenAI API, Model Deployment, LLM Application, Tool Calling, Large Language Modeling, Prompt Engineering, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Data Science
Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science
In summary, here are 10 of our most popular applied machine learning courses
- ArcGIS Desktop for Spatial Analysis: Go from Basic to Pro:Â Packt
- Foundations of Micro850 PLC Programming:Â Packt
- Kickstart Your Creativity with Procreate: Draw Animals :Â Skillshare
- Introducción a R para ciencia de datos: Universitat Politècnica de València
- HEALTHY URBAN SYSTEMS - PART 1:Â University of Lausanne
- Generative AI for Developers: All you need to know!:Â Pearson
- Blender to Unreal Engine 5 The Complete Beginners Guide:Â Packt
- Advanced Guide to Adobe InDesign CC: Tables & Effects:Â Skillshare
- Python Debugging Capstone Project: Fixing and Extending Code:Â University of Michigan
- Harnessing Open Source LLMs and ChatGPT with Minimal Code:Â Packt
