Knowledge Hut

JUNE 20, 2023

Natural Language Processing (NLP) has been a buzzword in the tech industry. In this article, we will explore the various NLP career opportunities and the skills and qualifications required to land Natural Language Processing positions. What is Natural Language Processing? Searching The same as in search engines.

Process 52

Process Computer Science Algorithm Education 52

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

Medical 52

Medical Datasets Machine Learning Hospitality 52

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

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly. By taking into account the statistical characteristics of the entire dataset, global outliers are frequently found.

Machine Learning 98

Machine Learning Algorithm Datasets Healthcare 98

Knowledge Hut

APRIL 23, 2024

Entails employing algorithms like classification, clustering, and the like for extracting relationships and patterns from data. Data Types Big Data Data Mining Big data refers to robust and complicated datasets that require a high level of expertise and tools for managing, processing, or analyzing.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

MARCH 27, 2024

An ordered set of data kept in a computer system and typically managed by a database management system (DBMS) is called a database. Table modeling of the data in standard databases facilitates efficient searching and processing. Essential in programming for tasks like sorting, searching, and organizing data within algorithms.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. And is used in a wide variety of applications, including image processing, speech recognition, and medical diagnosis.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

U-Next

SEPTEMBER 7, 2022

Recommendation System – Created by Machine Learning . A recommender system, broadly defined, is a system that anticipates the ratings a user would give to a certain item. . These kinds of systems have helped both the users and the services offered. What Are Recommender Systems? .

Machine Learning 40

Machine Learning Systems Algorithm Datasets 40

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. In the past, this data was too large and complex for traditional data processing tools to handle.

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Big Data Technology NoSQL Hadoop 98

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. They identify business problems and opportunities to enhance the practices, processes, and systems within an organization.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

MAY 3, 2024

Variance : This is what happens when a machine learning model performs well with the training dataset but poorly with the test dataset. When this occurs, the algorithm cannot perform accurately against unseen data, thus contradicting its objective. To train the model, machine learning algorithms use sample datasets.

Machine Learning 52

Machine Learning Datasets Algorithm Data Science 52

Booking.com Engineering

DECEMBER 2, 2022

From a technical perspective, solving this requires machine learning and operational infrastructure at scale, which is processing performance feedback, assessing historical performance and after running algorithms, communicating results back to a search engine provider. PPC as a business represents a global optimization problem.

Systems 52

Systems Cloud MySQL Relational Database 52

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. AI systems are designed to analyze large amounts of data, identify patterns, and make predictions or decisions based on algorithms and computational models.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Scala 98

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

RandomTrees

APRIL 29, 2024

GenAI includes the convergence of machine learning, deep learning, computer vision, natural language processing, and robotics, among other disciplines. Advanced AI algorithms combined with big data analytics have revolutionized the way researchers model complex scenarios and optimize vehicle performance.

Transportation 52

Transportation Manufacturing Algorithm Machine Learning 52

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.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JANUARY 18, 2024

To create prediction models, data scientists employ sophisticated machine learning algorithms. Making Better Decisions A data scientist conveys and displays the value of the institution's data to improve business decision-making processes by measuring, tracking, and documenting performance indicators and other data.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. Image by Author. Let’s consider an example. Image by Author. Image by Author.

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Datasets Machine Learning Data Data Science 106

RandomTrees

DECEMBER 12, 2023

It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. A computer vision system uses visual inputs and digital images to derive meaningful information before taking action. Additionally, providing DevOps teams with datasets to test and confirm software.

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

MARCH 13, 2024

Every big company is either eager to implement big data analytics into their business strategies or has already incorporated it into their systems. The role of the big data engineer comes into the picture once the data is properly collected, processed, and stored by a data engineer. What Does A Big Data Engineer Do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Every big company is either eager to implement big data analytics into their business strategies or has already incorporated it into their systems. The role of the big data engineer comes into the picture once the data is properly collected, processed, and stored by a data engineer. What Does A Big Data Engineer Do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. The Lambda design supports both batch processing and real-time operations. Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

OCTOBER 27, 2023

Data Analytics has become increasingly important for businesses across industries in recent years due to advancements in technology that allow for efficient storage and processing of large amounts of data. These projects can range from simple descriptive analysis to more complex predictive modelling and machine learning algorithms.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

DECEMBER 21, 2023

This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. It may be a little slow to operate compared to other file systems.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

U-Next

OCTOBER 16, 2022

Thus, we must have a system that will enable us to automatically extract the essence of the information available and generate reports, views, or summaries for better decision-making. . 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

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. Programming a system to track medical appointments.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52

Scala Hospitality Healthcare Retail 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 manage data storage and the ETL process. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

RandomTrees

JANUARY 22, 2024

It is speeding up research, streamlining procedures, and providing a new, in-depth understanding of the intricate workings of biological systems. Accelerating Drug Discovery Gen AI is changing the drug development process by using advanced algorithms to quickly and accurately identify potential drugs from large datasets.

Medical 52

Medical Healthcare Datasets Electronics 52

Striim

MAY 1, 2024

UPS Capital provides customs brokerage services to navigate import/export processes, supply chain optimization tools like supply chain analytics and inventory management, and technology solutions like the UPS Capital Merchant Services platform and UPS Capital Cargo Finance platform.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Knowledge Hut

DECEMBER 21, 2023

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. These topics in the paper suggest a multi-objective evolutionary algorithm (NN-MOEA) based on neural networks for dynamic workflow scheduling in cloud computing.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

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. Complexity and Computational Resources ML algorithms are often simpler and require less computational power compared to DL models.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. Here’s why you should work with Gen AI tools.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

OCTOBER 26, 2023

Machine learning is a branch of AI; it's all about creating an algorithm, analyzing data, learning from data, process ing data, and identifying and applying patterns to data with minimal intervention by human s. It provides the best automation tools for processing. It helps to solve real-time and human-related proble ms.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52