DATA SCIENCE - Neural networks
ITALIAN LANGUAGE
ASYNCHRONOUS COURSE DURATION: 19 HOURS
SYNCHRONOUS COURSE DURATION: 21 HOURS
MODE: online or in person
OBJECTIVES
Provide an overall picture of the functioning of neural networks and their applications in various fields, including Natural Language Processing.
RECIPIENTS
All those who carry out or intend to carry out the activity of Data Scientist and Machine Learning Engineer. Degree in STEM disciplines preferred, Programming with Python, Descriptive Statistics for Data Scientists, Inferential Statistics for Data Scientists, Fundamentals of Machine Learning, Machine Learning: Models and Algorithms, Machine Learning: Advanced Techniques.
SUBJECTS
Deep Learning and Artificial Neural Networks
- Implement Artificial Neural Network models for regression problems
- Implement Artificial Neural Network models for classification problems
- Implement Convolutional Neural Network (CNN) models for Computer Vision
- Implement Recurrent Neural Network (RNN) models for Natural Language Processing
- Implement Mixed Neural Network architectures
- Train Deep Learning models in the Cloud and on GPUs
Natural Language Processing
- Building text classification systems
- Building sentiment analysis systems
- Building topic modeling systems
- Building language recognition systems
- Build systems for identifying similar documents
CONTENTS AND TEACHING BY PROFESSION AI
