Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "problem formulation for generative ai"
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Big Data, Data Visualization Software, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Mining, Dashboard, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Quality, Data Cleansing, Data Import/Export
Skills you'll gain: Spring Framework, Software Development Life Cycle, Java, Java Programming, Hibernate (Java), Git (Version Control System), GitHub, HTML and CSS, Object Oriented Programming (OOP), Relational Databases, Spring Boot, Development Environment, Version Control, Web Design and Development, Restful API, Hypertext Markup Language (HTML), Generative AI, Interviewing Skills, CI/CD, Professional Networking
Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Warehousing, Data Storytelling, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Data Cleansing, Business Metrics, Data Manipulation
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Data-Driven Decision-Making, Performance Tuning
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Artificial Intelligence, Natural Language Processing, Application Frameworks, Open Source Technology
Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Generative AI, Text Mining
Johns Hopkins University
Skills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Javascript, Ajax, Responsive Web Design, Bootstrap (Front-End Framework), Front-End Web Development, Web Design, Hypertext Markup Language (HTML), Web Design and Development, JSON, Web Applications, Web Development, Usability, Cross Platform Development, Browser Compatibility, Object Oriented Programming (OOP), User Interface and User Experience (UI/UX) Design, User Experience Design, Server Side
The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mechanical Engineering, Calculus, Algebra, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Civil Engineering, General Mathematics, Computational Thinking, Engineering, Mathematical Theory & Analysis, Geometry
DeepLearning.AI
Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Regression Analysis, Performance Tuning
In summary, here are 10 of our most popular problem formulation for generative ai courses
- Data Analysis and Visualization Foundations: IBM
- Java Development from IBM: IBM
- Introduction to Data Analytics: IBM
- Preparing Data for Analysis with Microsoft Excel: Microsoft
- Applied Data Science with Python: University of Michigan
- Structuring Machine Learning Projects: DeepLearning.AI
- Data Science: Johns Hopkins University
- Fundamentals of AI Agents Using RAG and LangChain: IBM
- Artificial Intelligence on Microsoft Azure: Microsoft
- HTML, CSS, and Javascript for Web Developers: Johns Hopkins University