OBJECTIVES
The objective of the Introduction to Machine Learning training program is to equip participants with the foundational knowledge and practical skills needed to develop and apply machine learning algorithms in various contexts. The program will cover the theory and practice of machine learning, including data preprocessing, regression, classification, clustering, neural networks, model evaluation, and optimization, as well as ethical considerations.
OUTCOMES
Understand the principles and types of machine learning.
Apply machine learning techniques to real-world problems.
Preprocess data, create machine learning models, and evaluate their performance.
Use various machine learning algorithms for regression, classification, clustering, and neural networks.
Optimize machine learning models to improve their accuracy and performance.
Apply ethical considerations to machine learning projects.
SCOPE
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- AI Developer
- Research Scientist
- Business Intelligence Analyst
PROJECTS
To reinforce the knowledge and skills gained during the training program, participants will be assigned hands-on projects. These projects will require participants to apply their learning to real-world scenarios, such as predicting customer churn, classifying images, or clustering customer segments. Participants will have access to datasets and tools to complete these projects.