Certified Machine Learning Expert (CMLE)

Certified Machine Learning Expert (CMLE)



10 Dec 09:30 - 14 Dec 17:30 - Singapore
Singapore

Route
More info

T: +65 6100 1503 | E: hello@casugol.com | W: www.casugol.com

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.

COURSE OBJECTIVE



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.

COURSE DURATION
5 Days

COURSE OUTLINE
Introduction to Machine Learning

Concepts of machine learning

Data and machine learning

Real world applications of machine learning

How machine learning works

Understanding R – Data Structures & Managing Data

Data and Data Types

Getting Started with R

Data Types in R

Variable Operators in R

Data Vectors and Data Frames

Reading and Writing Data Files to R

Communicating with Database via R

Executing SQL Using R

Joining Structured & Semi Structured Data with R

Big Data Concepts & Application of R

Exploring Data in Using R

Bar Chart

Pie Chart

Trend Chart

Histogram

Box Plot

Scattered Plot & Correlation

Other Charts

Basic Classification Models and Techniques

Concept of Classification

Supervised and Unsupervised Classification

Decision Tree Classification

Random Forest Classification

Naive Bayes Classification

Support Vector Machine

Regression Methods and Forecasting

Concept of Regression Modeling

Modeling Stages

Simple linear Regression

Multiple Linear Regression

Refining the Model

Model Validation and Prediction

Logistic Regression

Finding Data Patterns Using Association Rules

Concepts of Association Rules

Market Basket Analysis (MBA)

Support, Confidence & Lift

Other Techniques of Association

Application of Association

K-Means Clustering

Cluster Analysis

Hierarchical Clustering

K-Means Clustering

Evaluating and Improving Model Performance

Model Evaluation and Comparison

Parameters to Evaluate the Model Accuracy

Selection of Right Parameters for a Model

Machine Learning Case Studies
Hands-On Machine Learning Projects


Certified Machine Learning Expert (CMLE) involves rigorous usage of real-time case studies, hands-on exercises, and group discussions

Pre-Requisites
A valid Certification of Competency either Machine Learning Essentials (MLE), Business Analytics Essential (BAE), or some basic understanding in software development

Examination
Participants are required to pass an examination upon completion. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course

Certification
To be a Certified Machine Learning Expert (CMLE), you are required to pass an examination. This exam tests a candidate’s knowledge and skills related to Machine Learning based on the syllabus covered in the course

WHO WILL BENEFIT FROM THIS COURSE?
This course is designed for participants who are interested in pursuing a career in the areas of Machine Learning.

Certified Machine Learning Expert (CMLE) is intended to 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.


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