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EXECUTIVE PROGRAM

Machine Learning For Decision-Making

Creating Learning Models

  • 1st Edition
  • 61  hours
  • 14th October to 9th December 2024
  • Mondays and Wednesdays
  • Blended Learning
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Course overview

Develop machine learning algorithms that allow you to extract patterns, segment, classify and obtain predictions from large collections of data.

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The Benefits for the Company

  • Incorporating Machine Learning into the organisation through people development;
  • Creating a business intelligence culture, through the ability to develop internal algorithms that support decision-making;
  • Improving operational processes through solutions that allow information to be extracted from dispersed data, identifying segmentations and deviations/errors;
  • Boosting the future sustainability of the business by incorporating the technology that is moulding the future of business and society...

Individual Benefits

  • Ability to develop machine learning algorithms algorithms;
  • Create impact in the organisation by extracting knowledge from large volumes of data to support decision-making and increase process efficiency;
  • Mastery of a technology that is shaping the future of business, with the ability to create a use case for your organisation.

Designed for whom?

  • Heads of business areas or departments (Audit, Operations, HR, Information Systems, Finance, Marketing, Commercial, etc.) who want to improve processes and results;

  • Professionals from different areas with a focus on mastering and extracting the maximum potential from a technology that is moulding the future of business;

  • Business and technology consultants who want to develop the ability to create
    disruptive and effective solutions in their projects.

Site Programa Machine Learning Programme
Executive Program in

Machine Learning For Decision-Making

Executive training in Machine Learning for Decision-Making is designed for professionals with no training in this area and will focus on techniques for analysing large volumes of data and supervised and unsupervised learning models to solve diverse problems such as data exploration, pattern detection, data anonymisation, consumer and company segmentation, temporal data forecasting, correlation and causality analysis, outlier and data anomaly detection, solution recommendation, image recognition and classification, natural language processing, information extraction, decision support and business efficiency.

Experts in the Field

Faculty

The programme that aims to equip participants with the required vision and tools to create a customer experience that is so powerful that it makes customers be passionate about our value proposition.

Faculty
Experts in the Field

Coordination

The programme will enable entrepreneurs and national directors of companies from various sectors to understand the requirements and opportunities for doing business in a robust sector with a major economic impact at national and international level.
Faculty

Faculty

Machine Learning For Decision-Making

See summary of all information
  • Blended Learning
  • 61 h Hours
  • 14 October, 2024 a 9 December, 2024
3.300 €

This amount includes:

  • Access to a platform where supporting documentation will be made available in digital format
  • Welcome kit
  • Coffee-breaks
  • Reserved parking in the ISEG car park
  • Final diploma of program

Applications should be submitted by filling in the online form on the respective page of each programme. The following documents are required: an updated CV and/or link to the applicant’s Linkedin page. On average the decision of the coordination team takes 8 to 15 working days after the submission of the complete documentation.

Ideally up to one week before the start of the Programme, although you can enrol later should places still be available.

No. There is no fee for the submission of an application. You will only be asked to pay a registration fee to secure your place in the programme after being admitted to the Postgraduate or MBA programmes.

Attendance is not controlled for the Postgraduate Programmes. However participants are obliged to attend at least 80% of lectures of the Executive Programmes.

There are various discounts: alumni discounts, discounts for professionals covered by agreements established between ISEG Executive Education and their Employer, prompt payment discounts, and discounts contemplated in our sales policy. For further information, you should contact the Programme Advisor of the respective programme. Discounts cannot be accumulated, with the exception of prompt payment discounts.

ISEG is located in Lisbon, next to the Assembly of the Republic parliament building. It is accessible by the following public transport: Metro (Underground) - Yellow line to Rato station Buses 727 and 706; Train – get off at Santos station; and, finally, Tram No. 18. If you come by car, you can park in ISEG’s on-campus car park.

DGERT Certification

Pedro Carvalho 3576

More Information

Contact our Program Advisor for further information and advice.

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