AI and ML level I
Course Description
Prerequisites: python level II
Artificial Intelligence (AI) and Machine learning (ML) is a mechanism where computers “learn” from data without requiring a large amount of human interaction. This process has given rise to a number of recent developments in technology such as: self-driving cars, natural language processing and improved understanding of the human genome.
However, the technical jargon associated with AI/ML has made it inaccessible to the typical business professional. Business Intelligence: Deploying AI/ML Methodologies with Python (A106)
aims to demystify all the hype and buzzwords surrounding AI/ML and teach you the most effective techniques while offering you a chance to implement these models yourself. The main focus of this course will be to teach you the practical know-how needed to quickly apply these techniques to everyday business problems.
After this course, participants will have an understanding of AI / ML algorithms, unsupervised learning, and common algorithms that can be applied in the workplace.
Course Agenda
Session 1: Introduction to AI / ML
Session 2: Introduction to Supervised Learning
Session 3: Supervised Learning: Regressions
Session 4: Supervised Learning: Classification
Session 5: Introduction to Unsupervised Learning
Session 6: Common Algorithms