Machine Learning and Neural Computing.
Reference : EV8 TECH-024Educational objectives
At the end of the course, participants should be able to:
- Gain a comprehensive understanding of machine learning concepts, including supervised learning, unsupervised learning, and reinforcement learning.
- Explore Neural Computing Principles
- Apply Machine Learning Algorithms
- Implement Neural Networks
- Evaluate Model Performance
Course programme
This course offers a comprehensive introduction to the fields of machine learning and neural computing, providing participants with the knowledge and skills necessary to understand, apply, and implement machine learning algorithms and neural networks. Participants will explore the theoretical foundations of machine learning and neural computing, as well as practical applications in various domains. The course emphasizes hands-on learning, including programming exercises and projects, to reinforce theoretical concepts and develop practical skills.
Who is this course for?
Public
Machine Learning and Neural Computing is tailored for data scientists, software engineers, researchers, computer scientists, and students interested in delving into machine learning and neural computing, providing essential skills for working in these cutting-edge fields.
Prerequisites