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
Universidad Nacional Autónoma de México
Skills you'll gain: Patient Evaluation, Oral Comprehension, Grammar
Skills you'll gain: AI Enablement, Strategic Leadership, Leadership, Strategic Thinking, Data Ethics, Business Transformation
Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data
Skills you'll gain: Dashboard, Web Scraping, Data Analysis, Data Presentation, Real Time Data, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Statistical Methods, Python Programming
Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL
Skills you'll gain: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
University of Michigan
Skills you'll gain: Debugging, Programming Principles, Program Development, Python Programming, Data Structures, Computer Programming, Computer Graphics, Diagram Design
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Geospatial Information and Technology, Histogram, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming
Skills you'll gain: Google Cloud Platform, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, Containerization, Performance Tuning, Machine Learning Methods, Scalability
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Español básico para atención médica: Universidad Nacional Autónoma de México
- Apply Generative AI Strategies for Effective Leadership: EDUCBA
- Getting Started with Vector Databases and AI Embeddings: Packt
- Python Project for Data Science: IBM
- Validating and Safeguarding Production AI: Coursera
- Introduction to Neural Networks and PyTorch: IBM
- Testing and Refining LLM Applications: Coursera
- Fine-Tuning & Optimizing Large Language Models: Edureka
- Analyze Data Using R for Statistical and Predictive Modeling: EDUCBA
- Python Basics: University of Michigan
