Master the fundamentals of applied Machine Learning
Content
This applied machine learning training will make you acquire the fundamental foundation of the data scientist in machine learning and will allow you to become operational on your data science use cases.
At the end of this training, trainees will be able to create, train and evaluate their own predictive models. Mastery of the main machine learning algorithms will make trainees versatile in most data science use cases.
All the theoretical concepts studied will be accompanied by a “red line” use-case, which will be implemented by the trainees throughout the training.
course objectives
At the end of the training, you will be able to :
Understand machine learning and its uses
Master and know how to use a full range of algorithms
Continuously improve results with “features engineering”
Implement end-to-end machine learning applications
Rigorously evaluate their predictive models
In-house training: the exercises and data can be adapted to the participants’ business specificities.
Next TRAINING
Contact us directly to organise an in-house training
level
audience
Developer, business analyst, data analyst, data engineer, quantitative analyst, statistician
course instructor
Thibaud Vienne
Expert in Machine Learning
Professor of applied mathematics.
Teacher at the University of Cote d ́Azur and Polytech Nice Sophia. CNRS / INRIA researcher.
Call to action
modalities
4 to 10 participants
3 to 8 participants
Intra-company only
course length
4 days – 28h
course fees
Price : 19700£ / pers.
In-house : on demand