ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. It can be manually transformed into structured data by hospital staff, but it’s never a priority in the medical setting. Medical transcription.

Medical 52

Medical Healthcare Process Hospitality 52

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. to glean useful insights from data.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

U-Next

MARCH 1, 2023

They are algorithms that assist users in finding information that is pertinent to them. Applications Technology Giants Advertising Firms Handwritten Digit Recognition Artificial neural networks are used to build a system that correctly decodes handwritten numbers. They help banks save money by cutting labor expenses.

Project 96

Project Medical Banking Healthcare 96

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. Code example and the link to the dataset for this project can be found in this source code.

Data Analytics 52

Data Analytics Coding Project Medical 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

Knowledge Hut

JANUARY 12, 2024

The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. variables) in a particular dataset while retaining most of the data. Logistic Regression is a simple and powerful linear classification algorithm. In simple terms, they reduce the dimensions (i.e.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Medical Image Analysis Data science applications in healthcare or Medical science have several uses. Analyzing medical images is one of them. As time passes, search engines like Google, Yahoo, Bing, etc.,

Data Science 52

Data Science Medical Manufacturing Transportation 52

Cloudera

SEPTEMBER 15, 2021

Consider the potentially catastrophic outcome of two autonomous vehicles on a collision course or taking a beat too long to act on an alert from an implanted medical device. . ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud. Datasets that are three months old are no longer relevant.”.

Medical 118

Medical Retail Datasets Algorithm 118

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. A dataset's anomalies may provide valuable information about inconsistencies, mistakes, fraud, or unusual events.

Machine Learning 98

Machine Learning Algorithm Datasets Healthcare 98

Knowledge Hut

AUGUST 1, 2023

Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions. But how is machine learning used in healthcare?

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

RandomTrees

JANUARY 29, 2024

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. From recognizing faces and detecting objects to navigating autonomous vehicles and dissecting medical images, its applications span a wide spectrum.

Medical 52

Medical Retail Entertainment Datasets 52

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. instead of handwritten digits.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

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.

Datasets 106

Datasets Machine Learning Data Data Science 106

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. These tools also assist in defining personalized medications for patients reducing operating costs for clinics and hospitals.

Data Science 98

Data Science Transportation Hospitality Banking 98

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

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.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 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 75

Programming Language Data Science Programming Scala 75

Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. There is a much broader spectrum of things out there which can be classified as data.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

U-Next

NOVEMBER 25, 2022

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions. Doctors now have vast amounts of patient data thanks to modern medical technology. billion to $209.91

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Programming a system to track medical appointments. designing an algorithm to improve the efficiency of hospital processes. However, with so many options out there, it can be tough to decide which one is right for you.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

OCTOBER 30, 2023

Medical insurance fraud detection Medical Insurance Fraud Detection is a special data science approach for predicting fraud in the medical insurance market that makes use of real-time analysis and classification algorithms. Source Code: Medical Insurance Fraud Detection 4. Source Code: Search Engine 3.

Big Data 52

Big Data Coding Project Medical 52

Knowledge Hut

MAY 31, 2023

It involves analyzing vast amounts of health-related data, including health records, medical images, and genetic information, using machine learning algorithms, natural language processing, computer vision, and other AI technologies to enhance the health of patients, lower costs, and boost the effectiveness of the delivery of healthcare.

Project 96

Project Healthcare Deep Learning Transportation 96

ProjectPro

OCTOBER 25, 2021

No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors. Researchers at Purdue University in Indianapolis have developed a machine-learning algorithm that predicts the relapse rate for myelogenous leukemia with 90% accuracy. Such tools can also reduce the need for biopsies.

Healthcare 52

Healthcare Machine Learning Project Medical 52

Knowledge Hut

NOVEMBER 18, 2023

Working behind the scenes, they apply complex mathematics and algorithms to process data rapidly and efficiently. They are very good at activities such as object recognition, facial recognition, and even detecting anomalies in medical photos. In fields such as medical diagnosis, medical diagnostics, financial services etc.

Medical 52

Medical Machine Learning Datasets Algorithm 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

JANUARY 18, 2024

Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms. They manage intricate datasets, create forecasting models, and examine consumer behavior to deliver tailored experiences. What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Healthcare Precision Medicine: Big data analytics makes it possible to analyze patient genetic data, medical records, and treatment results to create individualized treatment plans and precision medicine strategies.

Big Data 52

Big Data Retail Recruitment Transportation 52

Knowledge Hut

NOVEMBER 17, 2023

Solves specific problems based on predefined algorithms and rules for the designated task. Algorithm Complexity Employs complex and dynamic algorithms that evolve and improve over time to handle various tasks and challenges. It is capable of analyzing, comprehending, and deriving insights from large and diverse datasets.

Medical 52

Medical Algorithm Utilities Computer Science 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

DECEMBER 26, 2023

Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. Importance of Data Science in Healthcare The healthcare sector produces enormous datasets of valuable data on patient demographics, treatment plans, outcomes of medical exams, insurance, etc.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

JULY 26, 2023

Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods. Outliers or Anomalies: Outliers are data points that significantly deviate from the normal pattern or distribution of the dataset. What is Big Data?

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

DECEMBER 17, 2021

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

DECEMBER 9, 2021

For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset. You can use the CelebFaces Attributes (CelebA) Dataset for training the model. A mix of both supervised and unsupervised algorithms is nothing but GANs essentially.

Project 52

Project Medical Datasets Deep Learning 52

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52