Introduction to Machine Learning.
Discover how machine intelligence technology fits into a business's strategic framework and identify a roadmap for integrating advanced analytics, AI and machine learning in your business to boost revenue and improve performance.
Machine learning is best suited for anyone seeking to supercharge the business with technology powered by robotic automation, artificial intelligence, and machine learning.
Jumpstart your journey as an architect for intelligent applications.
Design and build algorithms with machine learning techniques for advanced data analytics and information processing.
Power to predict the future.
Machine Learning brings together computer science and statistics to harness the power of predictive analytics. Machine learning describes the process of identifying underlying patterns in data. This module aims to give you a thorough understanding of the relevant algorithms to use when labelled training data is available.
Embrace machine intelligence.
All organizations, from startups to tech giants to Fortune 500 corporations, are racing to harness their data. Big and small data will continue to reshape technology and business.
After completion, you will be able to train and tune models on multiple datasets and robustly evaluate their performance. These skills will allow analysts to identify patterns in data and gain new insights not possible with conventional statistical methods.
From data to smarter decisions.
Machine learning is about teaching computers how to learn from data to make decisions or predictions.
Best suited for analysts and business professionals who want to jump-start their abilities in building smart and intelligent applications.
Upon completion, participants should be able to demonstrate each of the following;
- Understand the landscape of machine learning possibilities.
- Ability to train a model using supervised learning algorithms.
- Ability to train and evaluate a model using training and/or test data.
Introduction to Machine Learning is one of the modules under the CADS Enterprise Data Engineer (EDE) Programme. EDE is a 13-15 days training program that super-charges Data Engineers with essential technical skills to master the fundamentals to execute any Data Science and AI systems and applications.
Become a Certified Enterprise Data Engineer
Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.