Introduction to Machine Learning

Introduce the concepts of machine learning, the problem sets it can solve, basic algorithms and tools as well as hands–on experience with working with those algorithms



Référence de la formation

KBPSE10

Niveau

  • Beginner
  • Intermediate

Nombre de jours

2 Days, 4H/day

Prix

688,50 € HT

Lieu de la formation

V: v-learning, virtual class



Pre-requis

Basic programming skills in Python, C, Java or other languages

Public

Data Scientist, High level Managers, Presa e Managers, IT Managers, QA and Technical Support or those who wants to Understand more about the problem set solved by machine learning as well as the algorithms and methods used by machine learning.

Objectifs de la formation

  • Understand the problem set solved by machine learning as well as the algorithms and methods used by machine learning.
  • Hands-on experience in using ML tools.

Contenu du cours

Chapter Description
Introduction to machine learning • Why we need it
• What it can and can’t do
• Limitations – Heuristics – not really smart
• Supervised and unsupervised methods
Python with numpy & scipy • Intro to working environment: Python with numpy & scipy
Machine learning algorithms • Machine learning algorithms
Short review and hands-on programming exercise for each • Naïve base
• SVM
• Decision trees
• Regression (linear prediction)
• Outliers extractions
• Feature scaling
• PCA
Whats next? • Machine learning platforms by Apache, Matlab, Amazon
Examples • Well select one example according to student preferences
− Machine learning and classification in communication and DPI
− Machine learning in advertisement optimization
− Machine learning in Image processing
Summary including Q&A • Summary Exercise ➔ Processing path:
− Image processing & scaling ->Computer vision feature extraction ->Machine Learning classifier
• Q&A

Dates


08 Juillet 2020 au 15 Juillet 2020


18 Août 2020 au 25 Août 2020


NOTE :

10% OFF if second course added


Des questions ?

+33 (0) 950 20 91 64


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