Relationship: Analytics & Data-Driven Decision Making

4 years ago

Data analytics is a topic that many data-driven organizations are becoming increasingly interested in. Data analytics often includes the process…

Covid-19 Machine Learning Use Cases

4 years ago

The covid-19 virus is a type of coronavirus. It has been linked to severe acute respiratory syndrome (SARS). The covid-19…

Federated Analytics & Learning Explained with Examples

4 years ago

Federated learning is proposed as an alternative to centralized machine learning since its client-server structure provides better privacy protection and…

Graph Neural Networks Explained with Examples

4 years ago

Graph neural networks (GNNs) are a relatively new area in the field of deep learning. They arose from graph theory…

Drug Discovery & Deep Learning: A Starter Guide

4 years ago

The drug discovery process is tedious, time-consuming, and expensive. A drug company has to identify the compounds that are most…

Supplier risk management & machine learning techniques

4 years ago

Supplier risk management (SRM) is a serious issue for procurement professionals. Suppliers can be unreliable, have poor quality products, or…

Key Deep Learning Techniques for Disease Diagnosis

4 years ago

The disease diagnosis process has been the same for decades- a physician would analyze symptoms, perform lab tests, and refer…

Key Architectural Components of a Data Lake

4 years ago

Data lakes are data storage systems that allow data to be stored, managed and accessed in a way that is…

14 Python Automl Frameworks Data Scientists Can Use

4 years ago

In this post, you will learn about Automated Machine Learning (AutoML) frameworks for Python that can use to train machine…

Data Analytics – Different Career Options / Opportunities

4 years ago

Data analytics career paths span a wide range of career options, from data scientist to data engineer. Data scientists are…