Knowledge Hut

JULY 20, 2023

Image encryption is a crucial component of Information security that focuses specifically on safeguarding the confidentiality and integrity of digital images. By encrypting images, sensitive information contained within them can be protected from unauthorized viewing, tampering, or interception. What is Image Encryption?

Medical 40

Medical Algorithm Metadata Cloud Storage 40

Edureka

JULY 17, 2024

Table of Contents: What is an ethical issue in information technology? What are the Ethical Issues of Information Systems? Conclusion FAQs What is an ethical issue in information technology? What are the Ethical Issues of Information Systems? However, they also carry a lot of ethical dilemmas that come with them.

Technology 52

Technology Pharmaceutical Electronics Media 52

Knowledge Hut

JANUARY 3, 2024

In the field of artificial intelligence, the heuristic search algorithm known as "hill climbing" is employed to address optimization-related issues. The algorithm begins in a suboptimal state and incrementally improves it until a predetermined condition is satisfied. What is a Hill Climbing Algorithm?

Algorithm 52

Algorithm Machine Learning Data Science Portfolio 52

Knowledge Hut

MARCH 21, 2024

Microsoft is renowned not only for its groundbreaking technology but also for its rigorous interview process. However, navigating through the interview process requires thorough preparation and understanding of what to expect. The process of eradicating bugs and resolving issues is their prior responsibility.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

U-Next

FEBRUARY 27, 2023

Introduction Information Security Engineer is a role that has come into the limelight recently. Nowadays, every organization wants to appoint Information Security Engineers as they can provide them with a complete security solution for data and information. What are the fundamental concepts of information security?

Engineering 52

Engineering Recruitment Electronics SQL 52

Knowledge Hut

JUNE 27, 2023

Data structures and algorithms are the building blocks of effective software in computer science and programming. We shall also discuss various data structures and algorithm projects with source code. What is an Algorithm? Software engineers need to understand algorithms to design dependable and effective code.

Algorithm 52

Algorithm Coding Project Food 52

Knowledge Hut

MARCH 29, 2024

One of the most important steps in joining one of the world’s most inventive tech businesses is the Apple software engineer interview process. We’ve compiled all the information you need to be ready for your upcoming Apple interview, including topics to prepare and interview procedures.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. What is Natural Language Processing? Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech.

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Process Deep Learning Datasets Machine Learning 139

Precisely

JANUARY 31, 2024

SAP does a great job managing all of that complexity, but it takes many resources to maintain master data, update SAP information on a timely basis, and keep everything running smoothly. As this drive toward increased efficiency and agility continues, here are the trends that we see unfolding in 2024 for automating SAP processes.

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ProjectPro

NOVEMBER 25, 2021

Although businesses have an inclination towards structured data for insight generation and decision-making, text data is one of the vital information generated from digital platforms. Read this blog to learn about text classification, one of the core topics of natural language processing. Table of Contents What is Text Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 86

Edureka

AUGUST 2, 2023

This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do? What does a Data Processing Analysts do ?

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Knowledge Hut

MARCH 13, 2024

If you aspire to be a software engineer, you must follow a specific strategy and understand the Google software engineer interview process to land your dream job. While Google’s hiring process is similar to other companies, it requires careful consideration. I consider it to be the most competitive step in the process.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. All of them are named tuples with shape and dtype information. If greater than one, records in files are processed in parallel. We support DenseFeature, SparseFeature, and VarlenFeature specs.

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Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. It's an exciting journey into the data world, where dealing with huge amounts of information needs special tools to get the most out of it. What Are Big Data Frameworks?

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Data Process Process Hadoop Scala 52

ProjectPro

NOVEMBER 8, 2021

Whether it is quality control of crops through image classification or image processing for electronic deposits, computer vision techniques are transforming industries across the globe. The performance of computer vision algorithms has surpassed humans in specific tasks like detecting and labeling objects in terms of speed and accuracy.

Algorithm 52

Algorithm Medical Datasets Python 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Knowledge Hut

MARCH 22, 2024

Reverse engineering software is the process of dissecting it to understand its components, functionality, and workflow without having access to the source code. Reverse engineering can help recover or migrate data to more modern systems, ensuring that no critical information is lost. What is Reverse Engineering in Software Engineering?

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Process Engineering Electronics Software Engineering 52

Knowledge Hut

MARCH 29, 2024

In this article, I will discuss software development estimation, the different methods, tools, and processes that different teams can use to figure out how long a project will take and how much it will cost. Flexibility However, there are certain disadvantages as well: The process is time-consuming. Provide flexibility in estimation.

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Process Software Engineering Software Engineer Project 52

The Pragmatic Engineer

OCTOBER 17, 2024

  This grant is designed to “support entrepreneurs, tech-geeks, developers, and socially engaged people, who are capable of challenging the way we search and discover information and resources on the internet” The team is tiny; only three people. It’s one front-end dev and two part-time backend devs.

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Knowledge Hut

JULY 24, 2023

As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. Recently, the advent of stream processing has unlocked the door for a new era in database technology. One of its most significant benefits is its ability to quickly process a vast amount of data.

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Database SQL Process NoSQL 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing. That’s why the “brain” is needed.

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Technology Process Insurance Medical 64

ProjectPro

JULY 9, 2021

With the help of natural language processing (NLP) tools, it has led to the development of exciting artificial intelligence applications like language recognition, autonomous vehicles, and computer vision robots, to name a few. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

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: . Extraction of information from storage. .

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Data Mining Process IT Raw Data 40

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. The more data we feed, the better the model gets.

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. These components interact seamlessly with each other, making Spark a versatile and comprehensive platform for processing huge volumes of diverse information.

Big Data 52

Big Data Data Process Process Hadoop 52

Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. The industry deals with highly complex biological systems and processes, which gen AI can model and simulate to achieve clinical breakthroughs.

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Manufacturing Pharmaceutical Healthcare Algorithm 86

phData: Data Engineering

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Efficiency through being able to streamline data storage and retrieval processes.

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Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

FEBRUARY 1, 2024

Data cleaning is the process of identifying and fixing incorrect data. In this article, we will look at eight common steps in the data cleaning process, as mentioned below. Your algorithms and results will lose their accuracy if you have wrong or incomplete data. What is Data Cleaning in Data Science?

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Data Science Process Data Cleanse Datasets 52

Knowledge Hut

MAY 30, 2024

Natural Language Processing Techniques 2. Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. Digital Image Processing: 6. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Artificial Intelligence (AI) 11.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Flink is a “streaming first” modern distributed system for data processing.

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Process Kafka Scala SQL 90

Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. This minor version upgrade process took approximately one year.

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AWS Hadoop Management Algorithm 52

Knowledge Hut

SEPTEMBER 24, 2024

Software development is becoming a friendly term and profession for many Bachelor of Technology graduates in computer science (CS) and information technology (IT) streams. Data structure and algorithms You need good data structure and algorithms knowledge to become a good software engineer.

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Software Engineer Software Engineering Engineering Programming Language 98

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.

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Process Coding Python Deep Learning 112

AltexSoft

DECEMBER 21, 2021

Others believe that such machines simply consume information and learn from it by themselves. ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass. .” So, let’s deal with how this process happens.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Knowledge Hut

MAY 2, 2024

Machine learning is a field that encompasses probability, statistics, computer science and algorithms that are used to create intelligent applications. These applications have the capability to glean useful and insightful information from data that is useful to arrive business insights. which are the measures of Variability.

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Machine Learning Algorithm Datasets Python 98

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Creating a database to store patient information. designing an algorithm to improve the efficiency of hospital processes. This will require some basic Natural Language Processing (NLP) techniques.

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