Knowledge Hut

FEBRUARY 1, 2024

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

Systems 98

Systems Entertainment Algorithm Datasets 98

U-Next

OCTOBER 16, 2022

From business transactions to scientific data, sensor data, pictures, videos, and more, we can and are handling a tremendous amount of information and data every day. The KDD process in data mining is used in business in the following ways to make better managerial decisions: . What is KDD? .

Data Mining 40

Data Mining Process IT Raw Data 40

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

MAY 30, 2024

Integrated Blockchain and Edge Computing Systems 7. Survey on Edge Computing Systems and Tools 8. Big Data Analytics in the Industrial Internet of Things 4. Data Mining 12. Blockchain is a distributed ledger technology that is decentralized and offers a safe and transparent method of storing and transferring data.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Data collection and storage optimization Data processing and interpretation Reporting and displaying statistical and pattern information Developing and evaluating models to handle huge amounts of data Understanding programming languages C. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

U-Next

MARCH 7, 2023

Statistics, linear algebra, and calculus are generally required for Data Analysts. Why is MS Access important in Data Analytics? Your data can be more structured with Access since you can control what type of information is entered, what values are entered, and how one table relates to another. What is data extraction?

Data Mining 96

Data Mining Scala Government Data Governance 96

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Hospital Management System Type : Application development, Database management, Programming There is no shortage of computer science project topics out there. Creating a database to store patient information.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Edureka

SEPTEMBER 23, 2024

What is Data Science? Data Science is an applied science that deals with the process of obtaining valuable information from structured and unstructured data. They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data.

Data Science 40

Data Science Data Mining Computer Science Finance 40

Knowledge Hut

DECEMBER 26, 2023

They identify business problems and opportunities to enhance the practices, processes, and systems within an organization. Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

RandomTrees

OCTOBER 18, 2024

The Rise and Impact Of AI In Financial Services Decision-making in the financial sector is experiencing a change for the better – that change is largely due to AI-driven financial insights , which take the form of constant recommendations made without delay based on the available data.

Management 52

Management Finance Portfolio Data Mining 52

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. They bridge the gap between data and software.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

RandomTrees

OCTOBER 14, 2024

The Role of GenAI in Demand Forecasting GenAI constitutes a branch of artificial intelligence that can create new data or predictions based on data it has already analyzed. Integrating different kinds of data with ease will be vital for GenAI models to work properly.

Utilities 52

Utilities Data Mining Algorithm Systems 52

Knowledge Hut

JUNE 4, 2024

Data science is an interdisciplinary field that employs scientific techniques, procedures, formulas, and systems to draw conclusions and knowledge from a variety of structured and unstructured data sources. Is Data Science Useful for Business? There are several data science business ideas which are as follows: 1.

Data Science 52

Data Science Data Mining Media Recruitment 52

Knowledge Hut

JANUARY 18, 2024

The Data Scientist job description is a culmination of the work of a mathematician, scientist, statistician, and computer professional. Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. For more information, check out the best Data Science certification.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Knowledge Hut

JULY 7, 2023

As software systems become more complicated in the future, software developers must stay updated on industry innovations and the latest trends. Software engineers can do research to learn about new technologies, approaches, and strategies for developing and maintaining complex software systems.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

DECEMBER 26, 2023

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. Business intelligence solutions comBIne technology and strategy for gathering, analyzing, and interpreting data from internal and external sources.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

JANUARY 22, 2024

When it comes to managing data, a database management system (DBMS) is a vital tool. Database management systems (DBMS) use entities to represent and manage data. In a DBMS, entities are usually organized into tables, which allow for more efficient storage and retrieval of data. But what is an entity?

MongoDB 98

MongoDB Database Data Mining Relational Database 98

Knowledge Hut

MAY 31, 2024

Today's data-driven digital world provides fresh opportunities and resources for consumers and enterprises. The act of identifying company problems and solutions requires a wealth of ideas, information, and knowledge—business analysis. Technological: New technologies for information and communication systems.

Business Analyst 52

Business Analyst Data Mining Machine Learning Utilities 52

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

JULY 31, 2023

It explores ways to bridge the gap between theoretical concepts and practical implementation, considering factors such as organizational context, data availability, and user acceptance. Evaluate the credibility, reliability, and relevance of each source to ensure that you use reliable information in your research paper.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

NOVEMBER 28, 2023

Work closely with software engineers and data scientists. Develop data collection processes Integrate data management technologies Work on new software and inculcate it into existing systems Streamline existing underlying processes that are vital for data use, segregation, maintenance, and collection.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Striim

JULY 10, 2024

The success of your predictive analytics tools hinges upon the quality and comprehensiveness of your data. To ensure your team leverages the most current data, data streaming is essential. Lastly, predictive models generate forecasts and risk assessments that business leaders use to inform decision-making processes.

Management 52

Management Transportation Machine Learning High Quality Data 52

Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. In the real world, data sets are huge. Data is not available in a specific format.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Edureka

FEBRUARY 27, 2023

Self-service BI tools are becoming more popular as they allow users to access and analyze data without needing assistance from IT or a data analyst. Mobile BI is another growing trend as more people use mobile devices to access information. Data Mining: Data mining extracts valuable information from large data sets.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

Business intelligence (BI) is the collection and analysis of business data using various methods and technologies. The primary goal of BI is to give organizations meaningful information and analysis to help them make decisions. BI can assist businesses in organizing the massive amounts of information they acquire.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Edureka

APRIL 17, 2023

Data analysis involves collecting and interpreting data, while visualization skills help in presenting the data in a way that’s easy to understand. Analyzing and visualising data is critical in providing valuable insights that can inform business decisions.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

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. Planning a data mining project can be structured using the CRISP-DM model and methodology. An operating system will typically deploy the model as a code representation.

Data Mining 40

Data Mining Data Preparation Raw Data Data Science 40

Knowledge Hut

MARCH 27, 2024

What Is Big Data Analytics? An organization can make informed decisions based on a big data analytics platform, which works by uncovering patterns, correlations, customer preferences and market trends hidden in the data. Some open-source technology for big data analytics are : Hadoop. Apache Spark. Apache Storm.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 28, 2023

Cost-Effectiveness: Hadoop is a cost-effective solution compared to traditional data processing systems. Real-Time Insights: Hadoop enables real-time data processing for faster decision-making and operational efficiency. Hadoop and OpenNLP may be used together to handle massive amounts of textual information.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

MARCH 15, 2024

These professionals are in extremely high demand in the market because of their core skill sets in the field of information technology. To become one of them, you must gather substantial knowledge in the areas of advanced mathematics, software engineering, and data analytics. What is Machine Learning?

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

DareData

SEPTEMBER 14, 2024

Users and stakeholders, particularly under the GenAI hype, expect very high performance from AI systems (sometimes, with unrealistic expectations). Don’t promise high accuracy / f-score / other metric without seeing the data. Don’t promise high speed without assessing the company’s systems and ability to scale.

Data Science 52

Data Science Project Management Machine Learning 52

Knowledge Hut

JANUARY 18, 2024

Data science is the study of huge amounts of data using current tools and methodologies to discover previously unknown patterns, extract valuable information, and make business choices. To create prediction models, data scientists employ sophisticated machine learning algorithms. Get to know more data science career path.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98