Dataiku

JUNE 3, 2022

Recently, Graph Neural Networks (GNNs) have received a lot of attention. From marketing to social science to biology, they have been widely promoted as the new way of learning “smartly” from data.

Network 75

Network Trends Social Research 75

High Scalability

JANUARY 11, 2022

Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. Graph Data Models. Out of Scope.

Machine Learning 133

Machine Learning Artificial Inteligence Storage Media 133

Capgemini

APRIL 20, 2022

In discussions, AI often equals deep-learning models. Current deep-learning methods heavily depend on the presumption of “independent and identically distributed” data to learn from, something which has serious implications for the robustness and transferability of models. Current ML struggles to learn causality.

Construction 52

Construction Systems Review Technical Review Innovation 52

Altexsoft

JANUARY 27, 2022

In the last decades, many cities adopted intelligent transportation systems (ITS) that support urban transportation network planning and traffic management. First of all, you need to have a detailed map with road networks and related attributes. They are usually easier, faster, and cheaper to implement than machine learning ones.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Altexsoft

AUGUST 18, 2021

Read on to know how to approach the airfare prediction problem and what we learned from our experience of building an price forecasting feature for the US-based online travel agency FareBoom. Read our article Preparing Your Dataset for Machine Learning to avoid common mistakes and handle your information properly.

Training 59

Training Airlines Travel UI/UX 59

Altexsoft

SEPTEMBER 28, 2021

In this article, you will learn about its history, pros & cons, where it is applied, how it is faring against other popular languages, and how you can start learning it. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Have you ever wondered why Python is called “Python”?

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94