Knowledge Hut

FEBRUARY 27, 2023

Junior Web Developer: A Junior Web Developer specializes in developing simple web-based applications using Java and related web technologies such as JSP, Servlets, and JavaScript under the guidance of senior developers. They may also be responsible for testing, debugging, and troubleshooting existing Java-based systems.

Java 52

Java Transportation Programming Language Healthcare 52

AltexSoft

JUNE 25, 2022

In 2019, the travel and hospitality industry accounted for a whopping 10.3 Besides, due to the specific nature of the industry with high-value one-off payments, a big number of businesses across the world, and rapid customer consumption of services, the travel and hospitality sector is a huge target for fraud. percent of global GDP.

Insurance 52

Insurance Hospitality Machine Learning Education 52

AltexSoft

JUNE 21, 2023

Navigating the increasingly competitive hospitality sector landscape demands a thorough grasp of the vital performance indicators that display profitability. ADR , in the hospitality industry, stands for the average daily rate. Discover how revenue management functions in hospitality in our video. What is ADR?

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

Portfolio 52

Portfolio Project Datasets Algorithm 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. After preprocessing, cleansing, and data transformation, you will visualize data in various Dashboards.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 2, 2021

The technology forerunners and the world-renowned conglomerates such as Google, Apple, Microsoft, and Amazon dabble in Image processing. This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e.,

Coding 40

Coding Python Process Project 40

AltexSoft

AUGUST 27, 2022

All these prompt the pharma industry to seek help from new technologies — and namely, artificial intelligence (AI) which holds a promise to speed up and otherwise improve drug discovery. HTS automates testing against targets, employing sensitive detectors, robotics, data processing software, and other technologies.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

ProjectPro

FEBRUARY 8, 2017

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. Still not many hadoop users consider hadoop as a platform for the execution of machine learning algorithms.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. It is important to study and understand several Hadoop use cases for these simple reasons – Hadoop is still a complex technology with several limitations and complications.

Hadoop 40

Hadoop Retail Healthcare Banking 40

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59