GSDC's Certified Machine Learning Master certification offers a deep understanding of Machine Learning practices. Machine learning is a subset of Artificial Intelligence that is based on the study of computer algorithms that has the ability to improve automatically through experience. Machine learning algorithms make a model with sample data or training data for prediction and decision making without being programmed to do so.
Certified Machine Learning Master certification doesn't only clear your concept about the basics of Machine Learning but gives you a detailed picture of all the modules of supervised learning, Apriori Algorithm, Market Basket Analysis, ARIMA analysis and many more. After the completion of Machine Learning Master certification, you will be able to worth all the machine learning models and use every Machine Learning approaches.
Certified Machine Learning Master certification shares a deep understanding of:
IT Professionals
Software Developers
Process Managers
Application Developers
Project Managers
Data Analysis Professionals
Web Developers
Few benefits of getting a Machine Learning Master certification are:
Validation of your skills
Higher salary structure
Broadened up career choices
Practical skills to implement Machine Learning in real life
Improved potential to become a part of the era of Artificial Intelligence
There are no pre-requisites for getting certified as a Machine Learning Master. Although, basic knowledge and working knowledge of programming and statistics will be required.
Multiple-choice exam of 40 marks.
You need to acquire 26+ marks to clear the exam.
In case the Participant failed then they will be free 2nd attempt.
Re-examination can be taken up to 30 days from the date of the 1st exam attempt.
1. Introduction to Python Programming
2. Introduction to various packages and related functions
3. Data Wrangling using Python
4. Introduction to Machine Learning with Python
5. Supervised Learning: Regression
6. Supervised Learning: Classification
7. Dimensionality Reduction
8. Unsupervised Learning: Clustering
9. Additional Performance Evaluation and Model Selection
10. Recommendation Engines
11. Association Rules Mining
12. Time Series Analysis
13. Reinforcement Learning
14. Artificial Neural Networks and Introduction to Deep Learning
The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:
