This course will explore the concepts of Machine Learning (ML) and understand how it’s transforming the digital world. Students will recognize how to enable computers to learn and adapt through experience to do specific tasks without explicit programming.
None, however, knowledge of logic and any programming language is an asset, but not required.
Upon completion of this program the successful student will have reliably demonstrated the ability to:
|Program Organization||# of Hours*|
|Lesson 1: Introduction to Artificial Intelligence and Machine Learning||3|
|Lesson 2: Data Preparation and Pre-processing||3|
|Lesson 3: Supervised Learning and Unsupervised Learning||3|
|Lesson 4: Feature Engineering||3|
|Lesson 5: Neural Networks||3|
|Lesson 6: Time Series Modelling||3|
|Lesson 7: Ensemble Learning||3|
|Lesson 8: Text Mining||3|
|Lesson 9: Cloud Machine Learning (Azure, AWS)||3|
|Lesson 10: Recommended Systems||3|
This course is beneficial for Information architects who want to gain expertise in Machine Learning, recent graduates who are looking to build a career in Machine Learning, or anyone who wants to learn about Machine Learning to help make data-driven business decisions.
Live Online Students
Ashton College uses web conferencing tools (Zoom for Education) to help instructors and students connect and collaborate live online. Students should have access to a computer, laptop or smartphone to access the class sessions. To be able to participate in webinars, students need a webcam and headset, or a microphone and headphones, along with a high-speed internet connection.
September 29, 2020 – December 01, 2020
Registration fee for this course is $890.
No textbooks required. Instructor may provide additional online resources.
This program does not require approval by the Private Training Institutions Branch of the Ministry of Advanced Education, Skills & Training. As such, it was not reviewed.