Filter by
The language used throughout the course, in both instruction and assessments.
Results for "ai/ml+methodologies"
Alfaisal University | KLD
Skills you'll gain: Big Data, Data Management, Machine Learning, Human Learning, Computer Vision
- Status: [object Object]
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Experiment, General Statistics, Marketing, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Storytelling, Tableau Software
Duke University
Skills you'll gain: Machine Learning
- Status: Free
Coursera Instructor Network
Johns Hopkins University
H2O.ai
Skills you'll gain: Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Visualization (Computer Graphics), Algorithms, Applied Machine Learning, Machine Learning Software, Python Programming, Computer Programming, Data Science
Politecnico di Milano
Skills you'll gain: Leadership and Management, Algorithms, Regulations and Compliance
University of Alberta
Skills you'll gain: Machine Learning, Reinforcement Learning, Machine Learning Algorithms, Python Programming, Statistical Programming, Computer Programming, Decision Making
- Status: Free
Coursera Instructor Network
- Status: Free
Coursera Instructor Network
In summary, here are 10 of our most popular ai/ml+methodologies courses
- أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
- Meta Data Analyst: Meta
- Local LLMs with llamafile: Duke University
- Advanced Data Analysis with ChatGPT: Coursera Instructor Network
- Artificial Intelligence in Social Media Analytics: Johns Hopkins University
- H2O GPTe Learning Path: H2O.ai
- Empowering and Transforming Your Organization with GenAI: Coursera
- Introduction to Computer Vision and Image Processing: IBM
- Artificial Intelligence and legal issues: Politecnico di Milano
- Fundamentals of Reinforcement Learning: University of Alberta