Machine Learning is revolutionizing the world by allowing computers to learn as they progress forward with large data sets, overwriting overcoming all programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve.
When this technology powers Artificial Intelligence (AI) applications, the combination can be powerful. Smart robots can already be found around us doing all our jobs with more speed and accuracy, and continuously improving themselves at every step.
|Certified Machine Learning Expert (CMLE) is designed to allow participants acquire knowledge on how to use R-tool to apply powerful machine learning methods and gain insight into real-world applications.|
|40 hours / 5-Day|
|MODULE 1: Introduction to Machine Learning
|MODULE 2: Understanding R – Data Structures & Managing Data
|MODULE 3: Exploring Data Using R
|MODULE 4: Basic Classification Models & Techniques
|MODULE 5:Regression Methods and Forecasting
|MODULE 6: Finding Data Patterns Using Association Rules
|MODULE 7: K-Means Clustering
|MODULE 8: Evaluating and Improving Model Performance
|MODULE 9: Case Studies and Discussion|
|MODULE 10: Hands-On Exercise|
|It is recommended that participants have a valid Certification of Competency in Machine Learning Essentials (MLE), Business Analytics Essential (BAE), or some basic understanding in software development|
|Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered|
|Participants will be awarded and recognised as a Certified Machine Learning Expert (CMLE) upon meeting the requirements and passing the examination.|
|Who Will Benefit from the Course|
|Certified Machine Learning Expert (CMLE) is designed for participants who are interested in pursuing a career in the areas of Machine Learning and would like the opportunity to learn in a supportive and encouraging environment.|
This course will equip you with a set of skills that you can draw on to implement the technology in your organisation.
Class is limited to 20 participants as hands-on sessions and real-time demonstration is expected.