Offered By: IBM

Data Science in Health Care. Advanced prognostication using Neural Networks

Name: Data Science in Health Care. Advanced prognostication using Neural Networks
Rating: 4.0 (30 reviews)
Author: yaroslav_vyklyuk_2

Learn to predict the COVID-19 spread dynamics in the world using neural networks of different structures.

GPXX01DCEN

619 Enrolled

(30)

At a Glance

Learn to predict the COVID-19 spread dynamics in the world using neural networks of different structures.

This lab is devoted to predicting the COVID-19 spread dynamics in the world using neural networks of different structures. We will learn how to make predictions based on linear regression, back propagation and long short-term memory neural networks .

Learning Objectives

Download a DataSet from *.csv files
Automatically change data in the DataSet
Transform the table
Visualize data with pandas
Make foreacast models based on Neural Networks

Estimated Effort

1 hours

Level

Language

English

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Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.