Knowledge Hut

JANUARY 18, 2024

Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities. Data Scientists collect, analyze, and interpret large amounts of data. For more information, check out the best Data Science certification. Choose data sets.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

JULY 26, 2023

It's portrayed as a digital shield that keeps our data safe from prying eyes. Some RFID systems pose minimal risk, operating within a limited range. However, systems used in contactless payment cards or identification documents can be vulnerable to unauthorized scanning or data interception. How RFID Technology Works?

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IT Electronics Data Collection Technology 52

Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. Real-time data analytics helps organizations react in real-time to market or client behavior changes.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

JANUARY 18, 2024

The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences. Understanding  Data Science course eligibility  can help you understand more about Data Science.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 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 in Data Mining? .

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Data Mining Process IT Raw Data 40

Knowledge Hut

JULY 4, 2023

It is a field of computer science that deals with the automatic identification of patterns and regularities in data. This is done by feeding the computer a set of training data that has already been labeled with the correct output. The computer then learns to identify the patterns in the data that correspond to the labels.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. An AI-first company is a business that doesn’t need to be told twice about the best course of action.

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Data Collection Algorithm Machine Learning Education 110

Knowledge Hut

JULY 7, 2023

Machine learning is a part of AI (artificial intelligence) that focuses on developing various algorithms and models to make decisions without human intervention. Various algorithms and models are trained using machine learning techniques like supervised, unsupervised, reinforcement, etc. How Does Machine Learning Work?

Machine Learning 110

Machine Learning Deep Learning Algorithm Datasets 110

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. It may go as high as $211,000!

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JANUARY 18, 2024

What is Data Science? Data science is a collaborative field that deals with the study of data using various tools and methods. Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. Know more about data science vs business analytics.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

RandomTrees

DECEMBER 12, 2023

Synthetic data helps us better understand the object or scene getting observed. It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. Let’s find out more about synthetic data in detail. What Is Synthetic Data In Machine Learning And How To Generate It?

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Datasets Deep Learning Healthcare Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

DECEMBER 21, 2023

Why Cloud Computing is Important for Data-driven Business? The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud computing is a fast-growing area in the technical landscape due to its recent developments.

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Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. However, transitioning to Data Science or beginning a career in data science fields as a novice is not simple.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

U-Next

SEPTEMBER 27, 2022

AI Product Manager s can be compared to a cross between Data scientists and designers. In addition to strong design skills, AI Product Manager s must know about Machine Learning, algorithms, and other methods for enhancing businesses through AI. AI integrations can improve your idea management system. Transforms User Feedback

Management 40

Management IT Machine Learning Algorithm 40

Knowledge Hut

MARCH 28, 2024

Have you ever wondered how large amounts of data are organized and accessed by computers? This magic lies in the world of data structures. Learning data structures is like understanding computer language. There are several basic and advanced types of data structures for arranging the information for specific purposes.

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Algorithm Java Utilities Data 52

Knowledge Hut

MAY 31, 2023

These projects typically involve a collaborative team of software developers, data scientists, machine learning engineers, and subject matter experts. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

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Project Healthcare Deep Learning Transportation 96

U-Next

SEPTEMBER 7, 2022

HR Analytics are specialized forms of data analytics that use employee-related data and analytical processes to improve HR performance levels and employee retention. A company that engages in HR analytics for its employees’ benefit deeply collects HR data and draws insights from it. . What Is HR Analytics? .

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IT Recruitment Data Analysis Algorithm 40

Knowledge Hut

DECEMBER 27, 2023

A common picture of these transactions is consistent with the system's built-in features, which also stop illegitimate transaction submissions. Furthermore, a hybrid blockchain ensures data safety in its operational context by using the private blockchain functionality. How to Select a Blockchain Platform for your Business?

Programming Language 98

Programming Language Banking Utilities Algorithm 98

Data Engineering Podcast

MAY 15, 2022

Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations being informed by data collected across a fleet of sensors. How is everyone going to find the data they need, and understand it? What do you have planned for the future of your IoT system?

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Designing MongoDB AWS SQL 100

AltexSoft

APRIL 12, 2022

“AI systems (will) take decisions that have ethical grounds and consequences.”. Responsible AI (sometimes referred to as ethical or trustworthy AI) is a set of principles and normative declarations used to document and regulate how artificial intelligence systems should be developed, deployed, and governed to comply with ethics and laws.

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Insurance Recruitment Government Algorithm 98

Knowledge Hut

JULY 28, 2023

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. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

MARCH 22, 2022

But collecting real data is not always an option due to the cost, sensitivity, and processing time. Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Data augmentation is basically the process of adding to the data set slightly modified copies of existing elements.

Machine Learning 52

Machine Learning IT Medical Insurance 52

Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Real-time Demands.

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Medical Retail Datasets Algorithm 119

Knowledge Hut

JANUARY 11, 2024

Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

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Government Machine Learning Algorithm Raw Data 117

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. SQL stands for Structured Query Language.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

NOVEMBER 20, 2023

In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions. AI systems use various methods to do this, such as anomaly detection, pattern recognition, and predictive modeling.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

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. As with any ML initiative, everything starts with data.

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Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. What are Data Analytics Projects? Let’s delve deep to understand it.

Data Analytics 52

Data Analytics Coding Project Medical 52

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. According to the Accenture study , 95 percent of new customers are ready to share their data in exchange for personalized insurance services. Is personalized insurance really the future of insurance?

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Insurance Medical Machine Learning Algorithm 88

Knowledge Hut

JANUARY 24, 2024

The skill set of a data scientist encompasses proficiency in statistics, data science, Big Data management , and expertise in programming languages such as R, Python, and SAS. A career in data science holds immense promise, with abundant opportunities and attractive salaries. How Do Data Scientists Work With Data?

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Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

OCTOBER 27, 2023

Android Local Train Ticketing System Developing an Android Local Train Ticketing System with Java, Android Studio, and SQLite. Developing a local train ticketing system for Android can be a challenging yet rewarding project idea for Software developer. putText(frame, translated_text, (10, 30), cv2.FONT_HERSHEY_SIMPLEX,

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

JANUARY 23, 2024

It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." " So, get ready for a fun ride in this blog as we explore the fascinating world of math in data science. Imagine a place where every piece of info can lead to mind-blowing findings.

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Data Science Algorithm Raw Data Data 52