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.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. 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. Invest in data infrastructure.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Architect Data Mining Programming Language 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. Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. Through the article, we will learn what data scientists do, and how to transits to a data science career path. What Do Data Scientists Do?

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

Knowledge Hut

DECEMBER 7, 2023

Data Collection: Gather the necessary data that the AI model will use for learning and making predictions. The quality and quantity of data are crucial to the model's performance. Data Preprocessing: Prepare and clean the data. Data Preprocessing: Prepare and clean the data.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

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

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. Data Collection . Predictive Analytics HR Examples .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

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

Knowledge Hut

JUNE 20, 2023

Additionally, they create and test the systems necessary to gather and process data for predictive modelling. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

ProjectPro

JANUARY 31, 2023

Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. It can be prevented in many ways, for instance, by choosing another algorithm, optimizing the hyperparameters, and changing the model architecture. Data Augmentation Techniques How to do Data Augmentation in Keras?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

DECEMBER 16, 2021

If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

AltexSoft

NOVEMBER 15, 2022

To learn the basics, you can read our dedicated article on how data is prepared for machine learning or watch a short video. Data preparation in 14 minutes. As of now, we’ll focus on such steps as finding the right data and constructing the dataset to build an ML-powered occupancy rate prediction module.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

AUGUST 9, 2021

Music streaming services profit from recommendation algorithms as well. Target = 1 means the user repeated the song in 30 days Target = 0 means the user did not repeat the song Songs.csv - It contains data on songs like song_id, song_genre, song_artist, song_lyricist, etc. We need to normalise the data and make it uniform throughout.

Data Science 52

Data Science Python Project Datasets 52

AltexSoft

DECEMBER 21, 2021

Not only is it hard to get lots of data (particularly for the cases of highly specialized niches such as healthcare), but manually adding tags for each item of data is also a difficult, time-consuming task requiring the work of human labelers. Synthetic data development. How data labeling works. Data collection.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Knowledge Hut

JUNE 28, 2023

Data Mining vs Business Intelligence: Methods and Techniques Data Mining: Data Mining Process in Business Intelligence utilizes a range of methods and techniques, including machine learning algorithms, statistical analysis, clustering, classification, association rule mining, natural language processing, and more.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. It ensures that the data collected from cloud sources or local databases is complete and accurate.

Big Data 52

Big Data Hadoop Relational Database AWS 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

Knowledge Hut

DECEMBER 26, 2023

Google Data Analytics Professional Certificate Certification Overview The Google Data Analytics Professional Certificate is a comprehensive online program that equips learners with the skills needed for a career in data analytics. Complex business intelligence algorithms are in place these days.

Certification 52

Certification Data Analytics BI AWS 52

ProjectPro

OCTOBER 20, 2021

The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Data Analytics 40

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 Engineer Data Engineering Engineering 52

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. There are open data platforms in several regions (like data.gov in the U.S.).

Big Data 52

Big Data Coding Project Hadoop 52