Course Overview:

Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence

Course Content

The following primary topics are covered:
– Machine Learning Business and Technology Drivers
– Machine Learning Benefits and Challenges
– Machine Learning Usage Scenarios
– Datasets, Structured, Unstructured and Semi-Structured Data
– Models, Algorithms, Model Training and Learning
– How Machine Learning Works
– Collecting and Pre-Processing Training Data
– Algorithm and Model Selection
– Training Models and Deploy Trained Models
– Machine Learning Algorithms and Practices
– Supervised Learning, Classification, Decision Tree
– Regression, Ensemble Methods, Dimension Reduction
– Unsupervised Learning and Clustering
– Semi-Supervised and Reinforcement Learning
– Machine Learning Best Practices
– How Machine Learning Systems Work
– Common Machine Learning Mechanisms
– How Mechanisms Are Used in Model Training
– Machine Learning and Deep Learning, Artificial Intelligence (AI)

WHAT CLIENT'S SAY

Testimonials

I am satisfied with the training offered here and the instructor. I look forward to having another training session with New Horizons.
Imanche Victor Adeniy
ATC Nigeria
The Excel training was well laid out and the facilitator was very versed, he used multiple scenarios to explain the concept. I am very glad to have chosen New Horizons for this training.
Christian Udeh
AMCON 
The training is very excellent and it will help me to identify and resolve some database problems.
Hammed MuritalaMIS
IITA