AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

AltexSoft

NOVEMBER 17, 2021

In this article, we’ll explore the essence of document classification, and study the main approaches to categorizing files based on their content. Read our separate article on that. It requires extracting raw data from claims automatically and applying NLP for analysis. Object recognition with computer vision.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. For example, tokenization (splitting text data into words) and part-of-speech tagging (labeling nouns, verbs, etc.) are successfully performed by rules.

Process 139

Process Deep Learning Datasets Machine Learning 139

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Types of HR Analytics – Descriptive, Predictive, And Prescriptive Analytics .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

AltexSoft

MARCH 18, 2022

In this article, we’ll dive into the term, explain how this ML process works, and what issues associated with the other two ML types it solves. Organic labels are often available in data, but a process may involve a human expert that adds tags to raw data to show a model the target attributes (answers).

Datasets 52

Datasets Machine Learning Algorithm Raw Data 52

U-Next

SEPTEMBER 9, 2022

To solve business challenges, the area of Data Science combines the various fields of Machine Learning algorithms, data inference, programming, mathematics, and statistics. . They should be proficient in Python or R and at ease handling huge data sets.

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. To build a big data project, you should always adhere to a clearly defined workflow.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. There are three stages in this real-world data engineering project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52