Advanced Machine Learning Specialization
Mastering the Frontiers of Advanced Machine Learning
Skills you will gain:
This self-paced specialization covers a wide range of advanced machine learning topics, from neural networks to reinforcement learning. Participants will gain expertise in state-of-the-art techniques, practical implementations, and advanced research, equipping them for top-tier roles in AI and machine learning.
Aim: To provide PhD scholars and academicians with comprehensive knowledge and practical skills in advanced machine learning techniques, including deep learning and reinforcement learning, preparing them for high-level machine learning engineering roles.
Program Objectives:
- Master advanced machine learning techniques.
- Develop and optimize deep learning models.
- Implement reinforcement learning algorithms.
- Conduct high-level AI research.
- Apply machine learning to real-world problems.
What you will learn?
- Introduction to Advanced Machine Learning
- Neural Networks and Deep Learning
- Reinforcement Learning
- Probabilistic Graphical Models
- Unsupervised Learning Techniques
- Natural Language Processing with Deep Learning
- Advanced Topics in Machine Learning
- Practical Implementations and Case Studies
Intended For :
AI researchers, data scientists, machine learning engineers, computer scientists, and academic professionals.
Career Supporting Skills
Neural Networks Deep Learning Reinforcement Learning Probabilistic Models NLP Techniques
