Core ML Concepts – Use in AI
Mastering the Fundamentals of Machine Learning for AI Innovation
Skills you will gain:
This course delves into the basic and advanced principles of machine learning, exploring various types of learning, key algorithms, and their real-world applications across industries. It prepares participants to effectively implement and optimize ML models.
Aim: To provide a foundational understanding of machine learning, covering essential theories, algorithms, and their applications in AI.
Program Objectives:
- Understand and apply various machine learning algorithms and models.
- Develop proficiency in data manipulation and ML model implementation.
- Address real-world problems using advanced ML techniques and ethical AI practices.
What you will learn?
- Foundations of Machine Learning: Introduction to ML, types of machine learning, and key concepts.
- Data and Algorithms: Techniques for data handling, feature engineering, and fundamental ML algorithms.
- Advanced ML Techniques: Exploration of neural networks, NLP, and computer vision within the AI context.
- Implementation and Real-world Applications: Practical application of ML in various industries and the challenges involved.
- Scaling and Optimization of ML Models: Techniques for model evaluation, optimization, deployment, and monitoring.
Intended For :
- Beginners in AI and machine learning.
- Professionals and students in fields such as data science, computer science, and engineering who wish to enhance their AI skills.
Career Supporting Skills
