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COURSES

Data Science and Deep Learning with Python

TOPIC
Machine learning
SUBTOPIC
Deep Learning
LANGUAGE
English
ENROLL
On Demand
DURATION
5 (40 h)
TRAINER
Cineca
The increasing amount of data collected through sensors or computational simulations can take advantage of new techniques for being processed in order to extract new insights out of raw data. The purpose of this course is to present researchers with data science methods and techniques. The course includes theoretical lectures followed by practical sessions on data manipulation, visualisation, machine learning and deep learning.  A specific session on how to use HPC resources is included.
Keywords:
Data Science, Deep Learning, Machine Learning, Predictive analytics

LEARNING OUTCOMES

At the end of the course, the student will be expected to have acquired:the ability to perform basic operations on matrices and dataframes; the ability to manage packages; the ability to navigate in the RStudio interface; a general knowledge of Machine and Deep Learning and packages methods.

PRE-REQUISITES

Basic knowledge of statisticcs

TARGET AUDIENCE

Student

COURSE TYPE

Hands-on

MATERIALS

Scripts, Slides

COURSE OFFERED BY

MEMBER
CINECA
TYPE
i-Space
COUNTRY
Italy