Knowledge Hut

JANUARY 18, 2024

Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems. 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.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

APRIL 19, 2023

Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. in today's data-driven world, Consolidating, processing, and making meaning of this data in order to derive insights that can guide decision-making is the difficult part.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Knowledge Hut

APRIL 26, 2024

The sole reason for this growth has been the explosion of data that we have seen in the past few years. Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

JANUARY 18, 2024

Although both Data Science and Software Engineering domains focus on math, code, data, etc., Is mastering data science beneficial or building software is a better career option? Data Science is a field of study that handles large volumes of data using technological and modern techniques.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Towards Data Science

FEBRUARY 2, 2024

To get the most out of your data investments, you need to improve the speed at which those investments deliver value. Below are three levers you can pull to improve efficiency for your data systems, your data teams, and your data consumers. This data use case generally comes in two flavors.

Data 98

Data Aggregated Data Machine Learning Data Mining 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

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.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Edureka

APRIL 17, 2023

However, with the increasing demand for data analysts, the competition for available jobs is getting steeper. Therefore, it’s essential to have a strong set of data analyst skills to stand out from the competition and land your dream job. Read books and articles: There are numerous books and articles available on data analysis.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

Data analytics and data science investments increased as a result, and almost every organization relies heavily on data. This article discusses the latest trends in data science, data science industry trends and the importance of data analytics. It is one of the data science future trends.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

ProjectPro

FEBRUARY 8, 2016

The three most common types of analytics, descriptive, predictive, and prescriptive analytics, are interconnected solutions that help businesses make the most of their big data. It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

ProjectPro

JANUARY 24, 2023

If you are interested in learning the reasons behind this popularity of Python among masses for creating NLP projects solutions, read this article till the end. The library supports scalable solutions by utilizing Python’s in-built iterators and generators for streamed data processing. in a few lines of code.

Python 52

Python Project Programming Language Data Mining 52

RandomTrees

OCTOBER 14, 2024

Standard forecasting techniques are typically based on forward-looking historical data and statistics, which, in some cases, are unable to accurately describe the dynamics of energy demand in today’s world. 4. Continuous Learning and Updates: The GenAI must involve retraining and updating processes due to new data or other conditions.

Utilities 52

Utilities Data Mining Algorithm Systems 52

RandomTrees

OCTOBER 18, 2024

In this article, we will examine how these transformations are being driven by GenAI applications in the finance sector, particularly AI-powered risk management solutions and financial analytics tools. Advanced Fraud Detection Timely fraud detection is one of the major advantages that AI risk management systems provide.

Management 52

Management Finance Portfolio Data Mining 52

Edureka

FEBRUARY 27, 2023

This article will discuss what BI is, its use, and its current associated trends. However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

AltexSoft

AUGUST 10, 2021

This process is called lead scoring and with access to data analytics, it allows you to predict how much each lead matters with utmost accuracy. You will learn more about how it works and why you should use it in this article. Traditional lead scoring is better than having no lead scoring, but it’s not a perfect system either.

Machine Learning 72

Machine Learning Data Mining Algorithm Datasets 72

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

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. This can include news articles, product prices, or social media posts.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Databand.ai

DECEMBER 20, 2022

He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Science Machine Learning 52

Knowledge Hut

FEBRUARY 7, 2023

These are Python, R, and SAS (Statistical Analysis System). Most data professionals, academicians, and startups prefer open-source Python and R as preferred tool choices. SAS, on the other hand, is about 50-year-old proprietary data science tool catering to the industry's demands. What is SAS?  What is SAS?  California (USA).

Data Science 52

Data Science Datasets SQL Certification 52

Zalando Engineering

FEBRUARY 1, 2017

Microservices became a design style to define system architectures, purify core business concepts, evolve solutions in parallel, make things look uniform, and implement stable and consistent interfaces across systems. Use cases help us to build functional boundaries as an initial step in system design and decomposition.

Data Mining 40

Data Mining Metadata Retail Algorithm 40

U-Next

NOVEMBER 18, 2022

AI in cloud computing has improved data management by leaps and bounds due to the advent of Artificial Intelligence (AI). AI-powered data management tools can help organizations to manage and utilize their data effectively. Data mining involves shifting through large data sets to identify patterns and trends.

Cloud Computing 52

Cloud Computing Cloud Data Cleanse Data Mining 52

U-Next

AUGUST 8, 2022

Computing technology’s Machine Learning field works with software systems that allow the computer to learn through experiences and improve autonomously over time. Robots, for instance, are trained to carry out the work depending on the information they receive from detectors, and programmes are dynamically learned from data.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 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. The project aims to design and implement algorithms and tools for real-time threat detection and analysis.

Hadoop 52

Hadoop Project Big Data Datasets 52

Knowledge Hut

DECEMBER 21, 2023

Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course. It incorporates several analytical tools that help improve the data analytics process. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 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

MAY 23, 2024

All the different processes that data science uses for analyzing & extracting insight from data require appropriate tools. A data science professional, data analyst, data engineer, and data scientist need to have high proficiency in these tools to excel in the data science career.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is also very popular among data scientists. million articles mention R.

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

Monte Carlo

JANUARY 24, 2024

To get the most out of your data investments, you need to improve the speed at which those investments deliver value. Below are three levers you can pull to improve efficiency for your data systems, your data teams, and your data consumers. This data use case generally comes in two flavors.

Data 69

Data Aggregated Data Machine Learning Data Mining 69

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

ProjectPro

OCTOBER 16, 2021

When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems. Objective: This project aims to build a machine-learning-based application system that can identify fraudulent credit card transactions given the features of a transaction. of houses available on sale.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. PB of data; - $250 billion worth of payments processed every year; -12.5 However, if the algorithm identifies a bad transaction, then it slows down the system to acquire additional data and perform in-depth analysis.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. It is one of the biggest big data users in the world.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

DECEMBER 27, 2023

This article will explain the business analyst career path and how it is beneficial, and you can choose the ECBA Certification online to learn more about the various aspects of the domain and become a business analyst. Let’s check business analyst career progression in this article. Experience working with data is also essential.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

U-Next

SEPTEMBER 29, 2022

A data analyst may also clean or format data, removing unnecessary or unsuitable information or determining how to cope with missing data. . A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis.

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Zalando Engineering

OCTOBER 17, 2016

Data Scientists A data scientist is also a researcher, but during their education focused primarily on, and have a very strong background in, data science. The area of data science typically comprises topics such as statistics, applied mathematics, operational research, data mining or modelling, and related disciplines.

Data Mining 40

Data Mining Deep Learning Data Science Computer Science 40

Knowledge Hut

AUGUST 16, 2024

But with so many options around, it can be over whelming to take the perfect first step into the field of data science. In this article, we will look at all the technical and non-technical prerequisites to kickstart a career in Data Science. In such a scenario, Hadoop comes to the rescue.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. That is primarily because the field of Data Science has quite a lot of subdomains to explore. Step-6: Build your Professional Network!

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Portfolio Data Science Algorithm Machine Learning 52