filmov
tv
2024 Cloud Computing and Big Data Lecture 10 Software as a Service (SAAS) Part2 💻
Показать описание
2024 Cloud Computing and Big Data Lecture 10 Software as a Service (SAAS) - Part Two💻
Cloud Computing & Big Data Course
Parallel & Scalable Machine Learning & Deep Learning
16 university lectures with additional practical lectures for hands-on exercises in context
The University of Iceland, School of Engineering and Natural Sciences
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science
Fall 2024
Course Outline
1. Cloud Computing & Big Data Introduction
2. Machine Learning Models in Clouds
3. Apache Spark for Cloud Applications
4. Virtualization & Data Center Design
5. Map-Reduce Computing Paradigm
6. Deep Learning driven by Big Data
7. Deep Learning Applications in Clouds
8. Infrastructure-As-A-Service (IAAS)
9. Platform-As-A-Service (PAAS)
10. Software-As-A-Service (SAAS)
11. Big Data Analytics & Cloud Data Mining
12. Docker & Container Management
13. Hyperparameter Optimization & AutoML
14. OpenStack Cloud Operating System
15. Online Social Networking & Graph Databases
16. Epilogue
Cloud Computing & Big Data Course
Parallel & Scalable Machine Learning & Deep Learning
16 university lectures with additional practical lectures for hands-on exercises in context
The University of Iceland, School of Engineering and Natural Sciences
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science
Fall 2024
Course Outline
1. Cloud Computing & Big Data Introduction
2. Machine Learning Models in Clouds
3. Apache Spark for Cloud Applications
4. Virtualization & Data Center Design
5. Map-Reduce Computing Paradigm
6. Deep Learning driven by Big Data
7. Deep Learning Applications in Clouds
8. Infrastructure-As-A-Service (IAAS)
9. Platform-As-A-Service (PAAS)
10. Software-As-A-Service (SAAS)
11. Big Data Analytics & Cloud Data Mining
12. Docker & Container Management
13. Hyperparameter Optimization & AutoML
14. OpenStack Cloud Operating System
15. Online Social Networking & Graph Databases
16. Epilogue