Wiley Certified Machine Learning Expert

Full-Time

Course Description
Course Structure & Duration
Entry Requirements
Course Fees
Assessment Methods
Certifications

Successful candidates will be able to:

Become thoroughly conversant with the principles, algorithms, tools and applications of machine learning
Gain skills in working with algorithms that underpin popular machine learning techniques
Build strong foundations in supervised and unsupervised learning
Acquire hands-on experiences of working with various machine learning algorithms and tools on real data sets and real-world problems

Who Should Attend:

Professionals who would like to upskill in the analytics domain
Graduates who have basic data analytics and/or programming skills

Mode of training: In classroom
Duration: 30 hours (4 full days)

Course Structure:

Module 1: Linear Regression
Module 2: Logistic Regression
Module 3: Decision Trees
Module 4: Model selection and cross validation
Module 5: Neural Networks
Module 6: SVM
Module 7: Random forest and boosting

Minimum Age: 16 years old
Academic Level:
– Strong foundation in statistics and math
– Basic knowledge of databases, tables and fields
– Basic knowledge of programming in Python

$3,210.00 (inclusive of GST)

Number of Questions: 45
Test Duration: 90 Mins
Test Format: Multiple Choice Questions
Passing Score: 50%

Upon successful completion of the Certified Machine Learning Expert course, you will receive the Certificate – Certified Machine Learning Expert from Wiley.