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Description

Official Description

4.0 Continuing Education Units (CEUs)

Fundamental statistical machine learning concepts and tools using Python. Emphasis on descriptive statistics, statistical distributions, random number generation, basic data visualization; linear regression; basic classification; error estimation: cross-validation, bias-variance trade-off; shrinkage methods; dimension reduction; beyond linearity: smoothing splines, local regression, additive models; tree and ensemble methods; powerful classifiers; unsupervised learning.

Notes

This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Students who complete this course will receive 4.0 CEUs (consisting of 30 contact hours and at least 10 hours of assignments and readings).

Prerequisites

Students must have completed the Introduction to Python for Data Science course prior to registering for Statistical Machine Learning (YCBS 255). As part of the registration process, you will be asked to provide proof of Python course completion.

Applies Towards the Following Programs

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Section(s) offered

Section Title
Statistical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Nov 11, 2019 to Nov 25, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 16, 2019
Type
In-class Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Dec 02, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Dec 07, 2019
Type
In-class Lecture
Days
M
Time
6:00PM to 9:00PM
Dates
Dec 09, 2019 to Dec 16, 2019
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,114.80 Click here to get more information
Drop Request Deadline
May 31, 2019 to Nov 16, 2019
Transfer Request Deadline
May 31, 2019 to Nov 16, 2019
Withdrawal Request Deadline
Nov 16, 2019 to Nov 18, 2019
Instructors
  • Louis-Marc Mercier
Section Notes

Course Fee Description

  • Tuition Fee: $1095
  • Career and Transition Services (CATS) Fee: $16.83
  • McGill Writing Centre (MWC) Fee: $2.97

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
Section Title
Statistical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
T
Time
6:00PM to 9:00PM
Dates
Nov 12, 2019 to Dec 17, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 23, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Dec 07, 2019
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,114.80 Click here to get more information
Drop Request Deadline
May 31, 2019 to Nov 19, 2019
Transfer Request Deadline
May 31, 2019 to Nov 19, 2019
Withdrawal Request Deadline
Nov 19, 2019 to Nov 23, 2019
Instructors
  • Patrice O’Carroll
Section Notes

Course Fee Description

  • Tuition Fee: $1095
  • Career and Transition Services (CATS) Fee: $16.83
  • McGill Writing Centre (MWC) Fee: $2.97

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
Section Title
Statistical Machine Learning
Language of Delivery
English
Type
In-class Lecture
Days
Th
Time
6:00PM to 9:00PM
Dates
Nov 14, 2019 to Dec 19, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 23, 2019
Type
In-class Lecture
Days
Sa
Time
9:00AM to 4:00PM
Dates
Dec 07, 2019
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,114.80 Click here to get more information
Drop Request Deadline
May 30, 2019 to Nov 23, 2019
Transfer Request Deadline
May 30, 2019 to Nov 23, 2019
Withdrawal Request Deadline
Nov 23, 2019 to Nov 28, 2019
Instructors
Section Notes

Course Fee Description

  • Tuition Fee: $1095
  • Career and Transition Services (CATS) Fee: $16.83
  • McGill Writing Centre (MWC) Fee: $2.97

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

Section Title
Statistical Machine Learning
Language of Delivery
English
Type
Online Course
Days
T
Time
6:00PM to 9:00PM
Dates
Mar 24, 2020 to May 26, 2020
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Fee non-credit $1,314.80 Click here to get more information
Drop Request Deadline
Oct 07, 2019 to Mar 31, 2020
Transfer Request Deadline
Oct 07, 2019 to Mar 31, 2020
Withdrawal Request Deadline
Mar 31, 2020 to Apr 07, 2020
Section Notes

Course Format

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

Course Fee Description

  • Tuition Fee: $1295
  • SCS Career Development Success package (SCSD) fee:  $19.80

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
Section Title
Statistical Machine Learning
Language of Delivery
English
Type
Online Course
Days
Th
Time
6:00PM to 9:00PM
Dates
Mar 26, 2020 to May 28, 2020
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Delivery Formats
Course Fee(s)
Drop Request Deadline
Oct 07, 2019 to Apr 02, 2020
Transfer Request Deadline
Oct 07, 2019 to Apr 02, 2020
Withdrawal Request Deadline
Apr 02, 2020 to Apr 09, 2020
Instructors
Section Notes

Course Format

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
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