AltexSoft

MAY 27, 2022

Intel and Cloudera saved a hospital system millions of dollars. A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Cloudera

JANUARY 30, 2024

But without the highest level of trust in these data, AI/ML solutions render questionable analysis and below-optimal results. It is not uncommon for organizations to construct solutions with faulty assumptions about data — the data contains every scenario of interest and the algorithm will figure it out.

Manufacturing 79

Manufacturing Data Lake Data Science Cloud 79

Snowflake

DECEMBER 18, 2023

With the general availability of ML-based forecasting and anomaly detection functions in Snowflake Cortex, data analysts and other SQL users can now build more accurate forecasts and identify outliers for their time-series data in Snowflake—all without needing to learn Python, have expertise in ML algorithms or stand up or manage infrastructure.

SQL 91

SQL Retail Manufacturing Python 91

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers that create software solutions with big data. They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Juxtaposing data scientist vs engineer tasks. Data preparation and cleaning.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JANUARY 29, 2024

On the other hand, data science is a technique that collects data from various resources for data preparation and modeling for extensive analysis. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications. Therefore, knowing both areas can be advantageous.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

The Modern Data Company

JANUARY 22, 2024

In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment. These features elevate the data integration process, leveraging extensive metadata, AI, and ML algorithms.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

The Modern Data Company

JANUARY 22, 2024

In response, The Modern Data Company emerged, driven by a clear mission: to revolutionize data management and address challenges posed by a diverse and rapidly evolving data environment. These features elevate the data integration process, leveraging extensive metadata, AI, and ML algorithms.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. 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. Hotel software.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

JANUARY 24, 2023

They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e., SageMaker also supports building customized algorithms and frameworks and allows for flexible distributed training options.

Building 52

Building Algorithm Machine Learning AWS 52

Knowledge Hut

APRIL 22, 2024

Python is a fantastic programming language for automating tasks, and most Linux system comes with Python pre-installed. Environment Variable: a variable whose value is set externally to the application via an operating system or microservice feature. x version on your system Make sure you have Ubuntu 18.04 is version 3.6.8

Python 98

Python Programming Language Data Science Programming 98

AltexSoft

MAY 12, 2022

Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

NOVEMBER 19, 2023

AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. Algorithms, data preparation and model evaluations. Job Titles That Follow: Research Scientist, Lead Personnel.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

AltexSoft

AUGUST 25, 2021

Besides simply looking for email addresses associated with spam, these systems notice slight indications of spam emails, like bad grammar and spelling, urgency, financial language, and so on. Such dialog systems are the hardest to pull off and are considered an unsolved problem in NLP. Language detection. Question answering.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

APRIL 25, 2024

These technologies are necessary for data scientists to speed up and increase the efficiency of the process. The main features of big data analytics are: 1. Data wrangling and Preparation The idea of Data Preparation procedures conducted once during the project and performed before using any iterative model.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

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.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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. These networks can assimilate intricate patterns and representations from vast amounts of data.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 83

Engineering Raw Data Data Science Scala 83

Knowledge Hut

DECEMBER 7, 2023

Data Preprocessing: Prepare and clean the data. This may include handling missing values, outliers, and transforming the data into a format suitable for AI algorithms. Model Selection: Choose the appropriate AI algorithm or framework that aligns with the project's objectives.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Their role focuses on ensuring a smooth and efficient flow of data. Like Java, C, Python, R, and Scala.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

JULY 10, 2023

AI image generators are trained on an extensive amount of data, which comprises large datasets of images. Through the training process, the algorithms learn different aspects and characteristics of the images within the datasets. It is the only variable that the algorithm actually changes through the process.

Medical 64

Medical Datasets Algorithm Entertainment 64

AltexSoft

JUNE 21, 2023

Machine learning employs sophisticated algorithms to anticipate future trends and accurately predict ADRs for hotels and vacation rentals. For example, at AltexSoft, our team developed two algorithms to support Rakuten Travel , Japan’s leading online booking platform that owns several hotels. Data shortage and poor quality.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. He researches, develops, and implements artificial intelligence (AI) systems to automate predictive models. Analyze trends and patterns Conduct in-depth data analysis, then present the findings.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 16, 2021

Consider an AI/ML system as the combination of "Data" and "Code." Data Scientist is the person who works majorly on the data and, through research, decides what data should be fed into the system (Machine Learning model). Additionally, they are expected to know operations and drive Auto ML systems.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

AltexSoft

JULY 8, 2021

Propensity models rely on machine learning algorithms. Machines get trained to anticipate what actions customers are likely to take next by finding patterns in past customer behavior data and use them when exposed to new data inputs. Collecting relevant data. Preparing data for modeling. Deploying a model.

Machine Learning 78

Machine Learning Algorithm Education Data Science 78

AltexSoft

NOVEMBER 17, 2021

Namely, we’ll look at how rule-based systems and machine learning models work in this context. Sentiment analysis is a narrow case of NLP-based systems that focuses on understanding the emotion, opinion, or attitude expressed through the text. An NLP-based system can be implemented for a ticket routing task in this case.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . Understanding The Types Of Predictive Modeling Algorithms . Listed below are some of the different types of predictive modeling algorithms: .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

JUNE 14, 2021

On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. The groups are created using algorithms that collect extensive customer data, such as health conditions. Invest in data infrastructure.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

Knowledge Hut

MARCH 28, 2024

Salary $197,893 per year (Source: Glassdoor) Top Companies Hiring Netflix, Uber, Airbnb Certifications Microsoft Certified: Azure AI Engineer Associate Job Role 5: Azure Data Scientist Azure Data Scientists use data analytics and machine learning approaches to gain insights and generate predictive models on the Microsoft Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

Data Science Python Project Datasets 52

Edureka

JANUARY 23, 2023

Before we go on to see the various data mining functionalities, we must know the process and why companies are showing keen interest in it. What Is Data Mining? Data mining is analysing large volumes of data available in the company’s storage systems or outside to find patterns to help them improve their business.

Data Mining 52

Data Mining Banking Retail Medical 52

Picnic Engineering

MAY 23, 2023

In this article, we’ll share insights from the Advanced Analytics and Algorithms (AAA) team’s two-day hackathon, where one of the hackathon teams explored and benchmarked three different types of models for large-scale routing of customer feedback with text classification.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

ProjectPro

AUGUST 30, 2022

This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Which algorithm is best for Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

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. Generally, the data needed to perform HR Analytics originates from the existing HR systems.

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

AltexSoft

MAY 12, 2021

This exposure makes the respiratory system extremely susceptible to a wide range of diseases, from long-familiar asthma to novel COVID-19. The most advanced AI algorithms achieved the accuracy of almost 97 percent. Computer vision requires plenty of quality data, diverse in gender, race, and geography. Image labeling by experts.

Medical 72

Medical Healthcare Datasets Machine Learning 72

AltexSoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

Engineering 59

Engineering Hospitality Transportation Algorithm 59