Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. Below are some of the public datasets for data science.

Datasets 96

Datasets Data Science Project Banking 96

AltexSoft

OCTOBER 18, 2022

Read our article on HIPAA violations to avoid common mistakes and associated penalties. Medical data anonymization and de-identification. So, before you can use medical data for research or business purposes, you must get rid of personal identifiers and even parts of them (like initials). Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

AltexSoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

Knowledge Hut

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

SEPTEMBER 19, 2023

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry. They can adjust prices and create appealing travel packages.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Databand.ai

JULY 10, 2023

This is part of a series of articles about data observability. In this article: Essential Elements of an Observability Platform Observability Platform vs. Observability Tools: What Is the Difference? This enables seamless correlation between various data types and easier identification of root causes.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. This article explores prominent research subjects within BI for 2023. They manage data access, monitor data quality, and enforce data protection measures.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

FEBRUARY 29, 2024

Before going on to what Anaconda is, we need to understand what data science is and the major requirements in this field. Anaconda (or Anaconda Navigator) is an open-source platform that provides data science toolkits and inbuilt packages for performing various data science tasks.

Data Science 52

Data Science Project Datasets Python 52

Knowledge Hut

JUNE 26, 2023

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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 Algorithm 52

U-Next

OCTOBER 16, 2022

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . Data summarization by automatic means . Analyzing raw data to discover patterns. . This article will briefly discuss the KDD process in data mining and the KDD process steps. . What is KDD? .

Data Mining 40

Data Mining Process IT Raw Data 40

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. Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. No wonder, pharma companies seek ways to make the journey shorter — and pin their hopes on data analytics. Read our article on AI in drug discovery and repurposing to learn more.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

AltexSoft

MAY 12, 2023

Of course, tapping into this immense pool of unstructured data may offer businesses a wealth of opportunities to better understand their customers, markets, and operations, ultimately driving growth and success. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. Big data computing frameworks like clouds and servers are utilized for data storage and accessibility.

Medical 52

Medical Computer Science Scala Machine Learning 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

ProjectPro

AUGUST 25, 2021

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Monte Carlo

FEBRUARY 21, 2023

These include: Seamless integration A data fabric’s ability to integrate seamlessly with various APIs and software-delivery kits (SDKs) truly differentiates this framework from another type of data management: the ubiquitous data lake. And this innovation ultimately creates bikes that the competition can only dream of.”

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

These include: Seamless integration A data fabric’s ability to integrate seamlessly with various APIs and software-delivery kits (SDKs) truly differentiates this framework from another type of data management: the ubiquitous data lake. And this innovation ultimately creates bikes that the competition can only dream of.”

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. But how to start personalizing product and content offers?

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. High latency of data access. No real-time data processing.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

U-Next

SEPTEMBER 9, 2022

This article outlines the true potential of automated Business Analytics and Data Analytics. . Analyzing business data for actionable insights is the objective of business analytics. It is possible to automate the data collection and update it across all your data channels. . The steps are as follows: .

Business Analyst 40

Business Analyst Raw Data Business Intelligence Cloud Computing 40

DoorDash Engineering

OCTOBER 17, 2023

They subsequently adjust the experiment’s start date so that it does not include metric data collected prior to the bug fix. Internally, we apply a recursive algorithm to eliminate subsets of the data that contribute most to imbalance, similar to what an experimenter would do in the process of salvaging data from SRM.

Education 87

Education Kafka Algorithm Data Warehouse 87

AltexSoft

JUNE 21, 2023

In this article, we delve into the ADR concept, explain its formula, and shed some light on its advantages and drawbacks. Learn more about occupancy rate prediction in our dedicated article. Learn more about RevPAR in our dedicated article. However, like any other technique, it comes with its own strengths and weaknesses.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

U-Next

SEPTEMBER 21, 2022

In simpler terms, good data use implies thriving businesses. . How precisely can this massive amount of data, which the typical human brain cannot grasp, be harnessed? . Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining.

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Ascend.io

JULY 19, 2023

While the journey will differ from company to company — because of their unique business and data needs — there are fundamental principles that provide a blueprint for action. Source: Data Mesh Principles and Logical Architecture by Zhamak Dehghani In this article, we won’t be diving into the deep end of what data mesh is.

Data Governance 40

Data Governance Government Metadata Data 40

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. Data sources.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

DECEMBER 16, 2021

Data Science is an emerging discipline and so are the roles and job titles pretty much evolving. Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist. Table of Contents Machine Learning Engineer vs. Data Scientist - Who Are They?

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

NOVEMBER 16, 2023

In this below-mentioned article, let me take you through a detailed analysis of Generative AI to unlock what is Generative AI, explore some of its many benefits, and examine how does Generative AI work! If you ask me, developing Generative AI models can be quite a challenging and complicated process that involves several steps.

Medical 52

Medical Datasets Healthcare Deep Learning 52

ProjectPro

AUGUST 9, 2021

With over 70 million songs on Spotify alone as of 2021, it’s safe to say music is easily accessible. Music streaming services profit from recommendation algorithms as well. Such cases can interfere with the efficiency and accuracy of the algorithmic implementations. We use the following techniques to clean the data 1.

Data Science 52

Data Science Python Project Datasets 52

Knowledge Hut

SEPTEMBER 25, 2023

Now, let's dive into the heart of this blog article: a comprehensive list of the best data analyst courses and certifications. What is Data Analyst Certification? In order to properly execute Data Analysis and come up with the optimal solution to a problem, you must have a solid background in mathematics and statistics.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. The algorithm has now evolved into exciting neural networks like ANN, CNN, RNN, etc.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40