Industrial Machine Learning
Faculty
Emeli Dral
Chief Technical Officer & Co-founder at Evidently AI
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The module covers topics related to industrial applications of machine learning. Nowadays machine learning technologies are widely used in practice in various applied fields such as retail, mass media, PR and marketing, banking, telecommunications, manufacturing, science and many others. Using relevant techniques in each project is very important, but often selecting a particular machine learning algorithm does not play a key role. Frequently the most important factors include relevant problem statements in terms of business goals, correct mathematical formalisation of the problem, precise estimation of the potential economic effect, criteria and metrics of decision quality estimation, among others.
In the course, we will learn the structure and the lifecycle of the machine learning project and cover topics ranging from the problem statement to final quality assessment, as well as estimation of the economic effect.
Learning highlights
- Identify cases where machine learning techniques should be applied
- Apply machine learning algorithms and techniques to real world applications
- Formulate problem statement and quality criteria
- Estimate potential economic effect of the machine learning models
Course outline
15 classes
Class 1
Course Introduction; Problem statement in data science
Class 2
Math problem statement based on business goal; Potential effect estimation
Class 3
Data sample request and pre-project analysis
Class 4
Data Science project team
Class 5
Data Science project life cycle and project plan
Class 6
Case study: car insurance
Class 7
Case study: demand forecasting
Class 8
Case study: churn prediction
Class 9
Time series analysis
Class 10
Case study: demand forecasting
Class 11
Case study: anomaly detection
Class 12
Data science project management
Class 13
ML-based service development
Class 14
Common mistakes in machine learning projects
Class 15
Final Exam
Emeli Dral is a Co-founder and Chief Technology Officer at Evidently AI, a startup developing tools to analyse and monitor the performance of machine learning models.
Prior to that, she co-founded a startup focused on the application of machine learning in the industrial sector, and served as the Chief Data Scientist at Yandex Data Factory. She led a team of accomplished data scientists and oversaw the development of machine learning solutions for various industries - from banking to manufacturing. Emeli is a lecturer at the Yandex School of Data Analysis and Harbour.Space University, where she teaches courses on machine learning and data analysis tools. In addition, she is a co-author of the Machine Learning and Data Analysis curriculum at Coursera. In 2017, she co-founded Data Mining in Action, the largest open data science course in Russia with over 500 students in each batch.
See full profileApply for this course
Industrial Machine Learning
by Emeli Dral
Total hours
45 Hours
Dates
Jul 06 - Jul 24, 2020
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.