AltexSoft

JUNE 14, 2021

Personalized insurance is the process of reaching insurance customers with targeted pricing, offers, and messages at the right time. Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. First, the customer needs to provide all information about the car.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Knowledge Hut

JANUARY 30, 2024

What is data extraction? Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. In this repository, data from multiple sources is consolidated and standardized, providing a centralized hub for analytical purposes.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JUNE 28, 2023

The answer lies in the strategic utilization of business intelligence for data mining (BI). Although these terms are sometimes used interchangeably, they carry distinct meanings and play different roles in this process. Process of analyzing, collecting, and presenting data to support decision-making.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

NOVEMBER 3, 2023

Data Visualization It provides a wide range of networks, diagrams, and maps. Boasts an extensive library of customizable visuals for diverse data representation. Augmented Analytics Incorporates machine learning and AI for automated data preparation, insights, and suggestions.

BI 52

BI Cloud Retail Medical 52

Knowledge Hut

MAY 2, 2024

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? Today, we all know that artificial neural networks play a key role in the thinking process of computers and machines. Data preparation involves extracting the actual data out of the entire content fed.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

U-Next

SEPTEMBER 17, 2022

With the passage of the 1990s and the introduction of data mining , the need for a common methodology to integrate lessons learned intensified. There is no attempt to capture all possible routes through the process of mining data using this model. . Six phases are involved in the process: . Data Preparation .

Data Mining 40

Data Mining Data Preparation Raw Data Data Science 40

Ascend.io

JANUARY 2, 2024

In this article, we explore how to build a data pipeline from the ground up in six steps. Recognizing the complexities inherent in this process, we also introduce a framework designed to simplify and streamline the entire pipeline construction process, boosting efficiency and scalability along the way. What Is a Data Pipeline?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

U-Next

AUGUST 11, 2022

It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. Why Should You Pursue A Career In Artificial Intelligence?

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JUNE 20, 2023

Therefore, keeping up with the latest trends and frameworks and taking online courses like Data Science course review is important. Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Spark is an efficient solution for big data engineering.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

In the world of IT, every small bit of data count; even information that looks like pure nonsense has its significance. So, how do we retrieve the significance from this data? This is where Data Science and analytics comes into the picture. Why data analytics? It needs to be renewed after three years.

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

NOVEMBER 27, 2023

A data scientist’s job needs loads of exploratory data research and analysis on a daily basis with the help of various tools like Python, SQL, R, and Matlab. This role is an amalgamation of art and science that requires a good amount of prototyping, programming and mocking up of data to obtain novel outcomes.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

Knowledge Hut

FEBRUARY 1, 2024

You cannot expect your analysis to be accurate unless you are sure that the data on which you have performed the analysis is free from any kind of incorrectness. Data cleaning in data science plays a pivotal role in your analysis. It’s a fundamental aspect of the data preparation stages of a machine learning cycle.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Rockset

APRIL 12, 2021

Digitizing Construction Logistics The intricate movement of construction materials is coordinated through the generation and use of tickets that detail all the relevant information for each job: supplier, delivery location, truck data, status updates, products and services ordered, and data on what was actually delivered.

NoSQL 40

NoSQL Transportation Electronics Data Preparation 40

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. The answer is- by earning professional data engineering certifications!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 2, 2015

This will supercharge the marketing tactics of the business and make data precious than ever. Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Retail 40

AltexSoft

DECEMBER 21, 2021

Others believe that such machines simply consume information and learn from it by themselves. Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” What is data labeling? So, let’s deal with how this process happens. Source: GitHub.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices. With this information, you can adjust your pricing strategy and make sure you offer competitive prices for the inventory.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

JUNE 21, 2023

ADR benefits The ADR provides various beneficial insights, from evaluating overall room or property revenue performance to informing competitive analysis and pricing strategy. This information can guide strategic adjustments to your pricing model, helping you maintain a competitive edge. Offers an overview of room revenue performance.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

U-Next

SEPTEMBER 28, 2022

HR Analytics can assist an organization’s management in processing previously unknown data, implementing new measures, and making better business choices. . A comprehensive data analysis can demonstrate if the benefits provided by the firm translate into improved performance or enhanced retention. Data Collection .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

ProjectPro

JANUARY 31, 2023

Data Augmentation Techniques How to do Data Augmentation in Keras? How to do Data Augmentation in Tensorflow? How to do Data Augmentation in Caffe? FAQ's What is Data Augmentation in Deep Learning? Data collection and labeling (annotating) can be time-consuming and expensive for deep-learning models.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

AltexSoft

NOVEMBER 15, 2022

Stakeholders — from property owners to managers to housekeeping staff — use this metric to make informed decisions and increase revenue per room or property. Whatever the case, you will have a bigger picture of your hotel or vacation property performance and make more informed decisions. Data preparation in 14 minutes.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Monte Carlo

MAY 25, 2023

While organizations across industries are sitting on mountains of un-mined decision-making gold, scattered and siloed data precludes them from delivering data-driven alchemy. What these companies need—what you might need—is data orchestration. Improved data governance. Unlocking data across business domains.

Data Pipeline 52

Data Pipeline Data Workflow Data Data Governance 52

U-Next

JUNE 29, 2022

Layers of big data components compiled together to form a stack, and it isn’t as straightforward as collecting data and converting it into knowledge. . Data must be consumed from many sources, translated and stored, and then processed before being presented understandably. Analysis and Consumption.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

ProjectPro

AUGUST 24, 2021

4) Event Data Analysis NYC Open Data is free public data published by New York City agencies and partners. This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. Power BI dashboard to display and drill down the predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 14, 2021

But the understanding of the essence of Big Data and ways to analyze it is still blurred. The truth is, there’s more to this term than just the size of information generated. Key Big Data characteristics. And Big Data isn’t about 1 petabyte, it’s about thousands and millions of them.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

AUGUST 9, 2021

Metadata includes user-specific and song-specific data, like user_ID, user_Registration_date, song_ID, song_genre, song_ArtistName, song_releaseDate etc. This information is unique for each song-user pair. Random Forest A Random Forest is a collection of Decision Trees. When can I be a Data Scientist?

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

OCTOBER 20, 2021

It is important to understand how data flows in the real world and what kind of AI interview questions are being discussed across companies. The value of a company lies solely in the interview process. It is a function to find the best model with minimal knowledge or effort from the Data Scientist.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. Real-life Examples of Big Data In Action .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

ProjectPro

MAY 31, 2021

Before starting any big data project, it is essential to become familiar with the fundamental processes and steps involved, from gathering raw data to creating a machine learning model to its effective implementation. There are plenty of datasets on the Internet that can provide more information than what you already have.

Big Data 52

Big Data Coding Project Hadoop 52

Snowflake

MARCH 28, 2023

Detailed vehicle lifecycle information results in accurate residual values for better remarketing when selling off used cars. In the truck segment, data-driven services are enabling a successful transition to a new business model. This eliminates data silos or duplicates and replaces costly, risky, and sometimes cumbersome methods.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52