Machine Learning Diploma
Introduction to the Diploma and its Benefits in the Job Market
Machine learning is a fundamental technology used in data analysis and developing intelligent systems that rely on learning from data. This diploma aims to equip participants with knowledge about machine learning and its applications in fields such as marketing, medicine, and finance.
Diploma Content
Introduction to Machine Learning:
Study of the basics of machine learning and its fundamental concepts.
Basic Algorithms:
Learning algorithms such as regression, decision trees, and neural networks.
Practical Applications:
Using libraries like Scikit-learn and TensorFlow to build machine learning models.
Machine Learning Projects:
Implementing projects such as predictions, data analysis, and image classification.
Outcomes
Understanding Basic Algorithms:
Ability to apply basic machine learning algorithms.
Data Analysis:
Skill in using machine learning to analyze large data and make decisions.
Practical Applications:
Gain experience in building predictive and analytical models using Python.
Target
Audience
Professionals in data analysis and artificial intelligence.
Individuals interested in learning how to apply machine learning techniques in their work.
Duration of the Diploma
3 months (90 days), offered in both Arabic and English.
Certificates
Certificate from Malaysia.
Certificate from Newcastle International Language Academy, UK.
Accreditation certificate from the American Organization for International Accreditation.
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