U-Next

MARCH 1, 2023

Datasets are obtained, and forecasts are made using a regression approach. Applications Online Realtors Heart Disease Prognosis This project is helpful from a medical aspect because it is intended to offer online medical advice and direction to those with cardiac issues.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

OCTOBER 27, 2023

Data analytics projects involve using statistical and computational techniques to analyse large datasets with the aim of uncovering patterns, trends, and insights. These datasets can be used to explore a wide range of research topics, including healthcare, finance, marketing , and social media. Let’s delve deep to understand it.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

APRIL 23, 2024

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. View Big Data Data Mining Big data takes a broader view, considering large-scale datasets from various sources. Data mining takes a narrower view.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

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. They make predictions based upon the probability that a new input dataset belongs to each class.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

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. . As Bernard Marr , a futurist and technology consultant, explained in a Cloudera digital event , that today’s datasets have a short shelf life.

Medical 115

Medical Retail Datasets Algorithm 115

RandomTrees

MARCH 27, 2024

It functions as an inventive mind, drawing motivation from immense datasets to create imaginative results that push the limits of the human imagination. From art and design to gaming, medical care and automotive , generative AI is revolutionizing different businesses, offering new opportunities for expression and investigation.

IT 52

IT Medical Entertainment Healthcare 52

Knowledge Hut

DECEMBER 27, 2023

Medical Image Analysis Data science applications in healthcare or Medical science have several uses. Analyzing medical images is one of them. With more datasets and photos, clinicians will soon be able to diagnose patients more accurately with the help of machine learning.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Precisely

MARCH 7, 2024

From documenting losses and damages to verifying that a claim submission meets all the necessary criteria, each step requires meticulous attention to detail and often entails reviewing lengthy narrative documents such as accident reports, medical records, and legal demands letters.

Insurance 72

Insurance Process Medical Data Governance 72

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

APRIL 23, 2024

Big Data vs Traditional Data The difference between Big Data vs Traditional Data heavily relies on the tools, plans, processes, and objectives used within, which derive useful insights from the datasets. In domains like transportation, manufacturing, medical, and safety, this feature proves to be monumental.

Big Data 52

Big Data Relational Database Data Datasets 52

Knowledge Hut

AUGUST 1, 2023

Machine Learning and the Internet of Medical Things in Healthcare The healthcare industry is being revolutionized through the utilization of machine learning and the Internet of Medical Things (IoMT). Benefits of Machine Learning in Healthcare Machine learning in the medical field has revolutionized the way healthcare is delivered.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

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. Image by Author.

Datasets 108

Datasets Machine Learning Data Data Science 108

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. Gen AI models can give biased results as they are trained on massive datasets. If the dataset has any biases, then it will influence the outputs.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

JULY 28, 2023

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. Global or Point Outliers: These anomalies are discrete data points that stand out from the rest of the dataset in a significant way.

Machine Learning 98

Machine Learning Algorithm Datasets Healthcare 98

Knowledge Hut

NOVEMBER 18, 2023

They are very good at activities such as object recognition, facial recognition, and even detecting anomalies in medical photos. In dealing with a small dataset as well as swimming in the ocean of information, they become comfortable and remAIn consistent. They keep growing as your business expands.

Medical 52

Medical Machine Learning Datasets Algorithm 52

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

Scott Logic

NOVEMBER 24, 2023

Decision trees are simple structures which go through a dataset and pose yes or no questions about its content. From asking these binary questions, the decision tree allows us to get an idea of which features split the dataset most effectively. Most often, the goal is to predict a target feature of the dataset based on the rest.

Datasets 52

Datasets Deep Learning Machine Learning Medical 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. The unsupervised mode allows the model to learn the hidden features of the images from the unlabelled dataset.

Project 52

Project Medical Datasets Deep Learning 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

NOVEMBER 16, 2023

Interpret medical images and documentation Generative AI can be trained to interpret medical images and documentation, providing insights that assist in diagnosis and treatment planning. Thus, AI is able to analyze medical images like X-rays, MRIs, and CT scans to detect anomalies.

Medical 52

Medical Healthcare Hospitality Entertainment 52

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

Programming Language 75

Programming Language Data Science Programming Scala 75

Monte Carlo

OCTOBER 5, 2023

Healthcare institutions sharing data with medical researchers Medical researchers access patient data without exposing sensitive personal information, enabling studies on large datasets while preserving patient privacy.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

U-Next

NOVEMBER 25, 2022

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. Machine Learning algorithms are trained on large datasets to make more accurate predictions.

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

DareData

NOVEMBER 28, 2023

Moreover, MLflow also has the capability of saving trained preprocessors, information about the validation and test datasets and much more! And all of these recordings can be saved either on the local machine, in a database locally or even in a server or cloud service, where one can then regulate and control access.

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

DECEMBER 26, 2023

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. The importance of data science in research proves to be beneficial for medical improvements.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

AltexSoft

MAY 12, 2022

For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. You have three options to obtain data to train machine learning models: use free sound libraries or audio datasets, purchase it from data providers or collect it involving domain experts.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

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

ProjectPro

DECEMBER 17, 2021

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. 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

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

AltexSoft

NOVEMBER 17, 2021

Digitizing medical reports and other records is one of the critical tasks for medical institutions to optimize their document flow. But some healthcare organizations like FDA implement various document classification techniques to process tons of medical archives daily. Stating categories and collecting training dataset.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Knowledge Hut

OCTOBER 27, 2023

Since we've all been students, working with a dataset you're familiar with makes it easier to learn. Start by getting a dataset and splitting it into different performance parts. Practice Dataset Student Result 5. This will help you practice cleaning the dataset. Show progress using visuals like gauges or KPIs.

BI 52

BI Project Datasets Healthcare 52

ProjectPro

FEBRUARY 25, 2022

Each dataset has a separate pipeline, which you can analyze simultaneously. To assess how the model works against new datasets, you need to divide the existing labeled data into training, testing, and validation data subsets at this point. You can obtain data from various sources, including pub/sub requests.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

U-Next

AUGUST 11, 2022

Feature extractions: By generating new features from the current ones, feature extraction attempts to decrease the number of features in a dataset (and then discard the original features). Healthcare: Medical Science involves a huge deal of technology, from medical research to operational equipment production.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JULY 28, 2023

DL models can learn from large amounts of labelled or unlabelled data, potentially reducing the need for extensive labelled datasets. DL models can potentially reduce the reliance on extensive labelled datasets while still achieving high performance.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

RandomTrees

DECEMBER 20, 2023

Modern medical professionals and institutions use Edge AI for surgical procedures. Moreover, it allows patients to monitor their activities and perform remote surgeries. Once trained, the model begins to answer real-world questions through an “inference engine.”

IT 52

IT Hospitality Healthcare Deep Learning 52

Knowledge Hut

MARCH 26, 2024

ChatGPT prompts for healthcare Here are some ChatGPT prompt examples for healthcare: Rewrite a long and technical medical report on a patient's cardiac MRI scan into a shorter summary. Analyze our dataset on [topic] to identify trends, patterns, or insights for policy decisions. Suggest visualizations (e.g.,

Media 52

Media Finance Medical Healthcare 52