Introduction to Machine Learning

84,00 €

Unlock the potential of data-driven decision-making with our “Introduction to Machine Learning” course. This comprehensive program is designed for beginners seeking a solid foundation in machine learning, focusing on fundamental algorithms that power the core of this transformative technology. Through a blend of theoretical concepts and hands-on practical exercises, learners will gain a deep understanding of the algorithms that drive machine learning applications.

7 in stock

SKU: 15056 Category:

Start date

July 9, 2024

End date

July 12, 2024

Language(s) of the training

English

Languages spoken by the coach(es)

English, French

Instructor(s)

Chimi Mayssae

Contents

  • Definition and key concepts
  • Supervised learning
  • Unsupervised learning
  • Machine learning applications
  • Linear regression and logistics regression
  • K-Means and K-Nearest
  • Neighbors Decision Trees
  • Naive Bayes Neural networks
  • Evaluation Metrics Feature
  • Engineering Python for machine learning
  • Machine learning libraries (Tensorflow, Keras , …)

Objective

This course combines theoretical concepts with hands-on practical examples and exercises.

Learning Outcomes

On completion of this course, learners will be able to:

  • Understand the fundamental machine learning algorithms
  • Build and evaluate basic models for various applications

Schedule

This course has a total duration of 21 hours and takes place over 3 days:

  • 09-07-2024: 09:00 – 17:00
  • 11-07-2024: 09:00 – 17:00
  • 12-07-2024: 09:00 – 17:00

Format and Location

This course will take place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette

Level

Intermediate

Prerequisites

  • Basic understanding of programming concepts is recommended.
  • Familiarity with Python is beneficial but not mandatory.
  • Good understanding of probability and statistics.

Additional Info

Certification

This training does not have any assessment or exams; a certificate of participation will be issued to participants.

Esco Skills

statistics, gather data, analyse big data, manage quantitative data, process data, statistics, gather data, analyse big data, manage quantitative data, process data

Esco Occupations

data scientist, business intelligence manager, data scientist, business intelligence manager