Fundamentals of Machine Learning

FUNDAMENTALS OF MACHINE LEARNING COURSE

Date: 30 June, 2021 Time: 8:30am - 4:30pm Central African Time Venue: Live Online REGISTER NOW

Deliver Robust, Accurate Machine Learning Projects Without Coding

As artificial intelligence becomes more commonly adopted across industries and business functions the demand for professionals who are able to solve complex business problems and create business value using machine learning has become increasingly critical. This course focuses on predictive modeling, a specific application of machine learning that is driving virtually all enterprise artificial intelligence applications today. It covers the concepts underpinning the machine learning process, empowering participants with the end-to-end expertise needed to deliver robust, accurate predictive models and predictions.

This course is delivered in the form of case-studies and hands-on labs that enhance participants' learning and expose participants to practical machine learning environments. It does not require a technical background (including coding), making it accessible to individuals in all business functions across all industries.

Download the course brochure here

Who This Course Is For

This course is intended for individuals seeking to develop an understanding of machine learning for predictive modeling, including:

Business leaders seeking to exploit data to gain competitive advantage
Executives and professionals in business intelligence, analytics, IT
Business analysts and data analysts who are seeking new skills
Subject matter experts in all areas of business looking to build a career in artificial intelligence
Recent graduates in data science (or similar program) looking to move into artificial intelligence

Prerequisites

This course requires:

Neither a strong background in mathematics nor experience in computer programming
Ability to use basic computer programs and business applications

Outcomes

Upon successful completion of the course, participants will be able to:

Build robust, accurate predictive models using machine learning by:

Learn advanced topics in business application of machine learning
Extend their knowledge into areas such as text analytics, time series forecasting and image analytics
Learn advanced topics such as machine learning theory and algorithms

Delivery

One full day (6 hours) Live onsite or online using Zoom, Teams or Google Meet

Curriculum

Introduction to Machine Learning

Artificial intelligence, machine learning and predictive modeling
Types of machine learning
How supervised learning works
Types of machine learning problems
Practical machine learning
Knowledge check
Key takeaways

Data Undersatnding

Structure of a dataset
Hands-on lab introduction
Machine learning platform and dataset
Description of dataset
Import the data
Summary of dataset
Data summary
Feature statistics
Data distributions
Data insights
Data analysis report
Key takeaways

Data Preparation

Train/test split
Handle missing values
Handle outliers
Dimensionality reduction
Feature transformation
Feature engineering
Data leakage
Data preparation report
Key takeaways

Building and Evaluating Models: Classification

Overfitting and underfitting
Hold-out validation
k-fold cross validation
Key classification algorithms
Classification performance metrics
Modeling approach
Baseline performance
Model evaluation
Model tuning
Ensemble methods
Model selection
Model deployment
Key takeaways

Building and Evaluating Models: Regression

Overview of linear regression
Key regression algorithms
Regression performance metrics
Regression assumptions
Hands-on lab introduction
Machine learning platform and dataset
Data analysis
Data preparation
Model evaluation
Model improvement
Residual analysis
Model deployment
Key takeaways

Course Conclusion

What was covered
Topics for further study

Award

Certificate of Completion

Fee per Participant

US$80 paid in advance

COURSE INSTRUCTOR

Shepherd Fungayi CEO SDscope
Certified Machine Learning Master - verify credential here
Certified Data Engineering Master - verify credential here
Certified Machine Learning Practitioner - verify credential here
DataRobot 10x: Applied Data Science Academy Certification - verify credential here
Started professional career as a telecommunications engineer over 20 years ago
Experience building data-driven services
Experience includes projects in IT, data analytics and AI in telecommunications and financial industries
Profile: www.linkedin.com/in/shepherd-fungayi

Download the course brochure here

Book your seat. REGISTER NOW

TRAINING COURSE

FUNDAMENTALS OF

MACHINE LEARNING