Machine Learning

Applied Machine Learning

As one of the fundamental blocks of Data Science, AI methods are being actively applied across various industries. In this online course, get an in-depth and hands-on understanding from the basics to a more advanced level.

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clock

Part-Time

6

6 weeks

remote

Remote

language

English

Program overview

You will start with an introduction on how to link business to data, and data to Machine Learning, followed by a deep-dive into Supervised and Unsupervised Machine Learning algorithms. Over 6 weeks, you will work on several use-cases and acquire experience on the following topics:

1. How to convert a business problem into a Machine Learning problem?
2. How to define requirements for a Machine Learning project (including key performance indices) using an ML canvas?
3. In-depth, hands-on experience in creating different types of Machine Learning pipelines (supervised vs. unsupervised), including data transformation, feature engineering, building a data pipeline, hyper-parameter tuning, loss functions, and cross-validations on several regression and classification tasks
4. Hands-on experience in identifying bias and fairness of Machine Learning problems and Machine Learning model explainability
5. Designing and solving several Machine Learning use-cases, (ex: predictive maintenance, churn prediction, customer segmentation).

Schedule:

  • ● This remote course runs for 6 weeks on Monday and Wednesday from 16:00 to 19:00.
  • ● Every week will contain lecture and exercise modules designed to give you as much hands-on experience as possible.

Upcoming dates

Schedule: Mon & Wed, 16:00 - 19:00 (remote)

Apply by
Course dates
Tuition
04. Sep 21
06. Sep 21 - 13. Oct 21
CHF 1'600

What you'll learn

Weekly schedule

Mo

Tue

Wed

Thu

Fr

Sat

09H00

12H00

13H00

16H00

17H00

19H00

Remote
Remote
Remote
Remote

Lecture

Learn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.

Practice

Work on a set of interesting and challenging exercises related to the topics covered in the previous lesson.

Application process and prerequisites

This course is suitable for beginners and intermediate Python programmers.
Simply apply to the program here.

FAQs

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Your instructors

Team Member

Dipanjan Sarkar

Lead Data Scientist & Instructor
Dipanjan (DJ) is a Lead Data Science Consultant & Instructor, leading advanced analytics efforts aro...
Team Member

Albin Plathottathil

Data Science Consultant
Soon after graduating with a Bachelor’s in Computer Engineering, Albin found his interest in working...

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