ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

Insurance 75

Insurance Machine Learning Project Algorithm 75

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

OCTOBER 27, 2023

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

NOVEMBER 20, 2023

As a result, employers look for candidates with the best AI certification to run automation and write algorithms. Not only individually but in conjunction with AI as one of the primary data sources used to train AI automation systems. The goal is to enable items to transmit and receive data via the Internet.

Electronics 52

Electronics Utilities Architecture Computer Science 52

AltexSoft

JUNE 16, 2022

Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. The first ones involve data collection and preparation to ensure it’s of high quality and fits the task.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

JUNE 4, 2024

Data science in pharmaceutical industry is extensively used to improve its operations through applications such as predictive modeling, segmentation analysis, machine learning algorithms, visualization tools, etc., In this article, we have explained about data science in pharma, their use cases, o pportunities, and more.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

Knowledge Hut

JULY 26, 2023

Here's a simplified breakdown of how the technology functions through different components: RFID Tags: RFID tags are small electronic devices that consist of a microchip and an antenna. The microchip stores data or information about the tagged object or individual.

IT 52

IT Electronics Data Collection Technology 52

Knowledge Hut

JULY 26, 2023

Biases can arise from various factors such as sample selection methods, survey design flaws, or inherent biases in data collection processes. Bugs in Application: Errors or bugs in data collection, storage, and processing applications can compromise the accuracy of the data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

AltexSoft

APRIL 27, 2023

Efficient analysis of data from multiple sources helps pharma businesses identify market trends and develop targeted marketing strategies. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. The data for evaluation was extracted from electronic health records and medical claims.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

DECEMBER 26, 2023

Non-electronic: Social Engineering c. Terms: Cipher: encryption and decryption algorithm. RC (Rivest Cipher): Symmetric-key algorithm. DSA (Digital Signature Algorithm): Private key tells who signed the message. Shrink Wrap: Exploiting unpatched libraries and frameworks of the application. Legal 18 U.S.C

Certification 52

Certification Algorithm SQL Finance 52

ProjectPro

JUNE 18, 2015

Big data solutions that once took several hours for computations now can now be done just in few seconds with various predictive analytics tools that analyse tons of data points. Organizations need to collect thousands of data points to meet large scale decision challenges.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

Knowledge Hut

APRIL 24, 2024

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

NOVEMBER 16, 2023

Data Collection and Preparation To create effective Generative AI models, you should start by gathering a good dataset that matches your project's needs. If you ask me, developing Generative AI models can be quite a challenging and complicated process that involves several steps.

Medical 52

Medical Datasets Deep Learning Healthcare 52

ProjectPro

MAY 23, 2015

Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. How Walmart uses Big Data? Walmart has a broad big data ecosystem.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

phData: Data Engineering

SEPTEMBER 27, 2024

Let’s break down why this is so powerful for us marketers: Data Preservation : By keeping a copy of your raw customer data, you preserve the original context and granularity. Schema-on-read approaches mean we can adapt to new ideas without needing a time machine to go back and change our data collection.

Data 52

Data Raw Data Data Lake Architecture 52

U-Next

AUGUST 26, 2022

The top systems available today enable the whole analytical process, from access to data and preparation through Data Analysis and operationalization to outcomes tracking. Data Analytics Illustration. Diagnostic Analytics offers in-depth perceptions of a specific issue. Predictive Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

DECEMBER 9, 2021

The challenging aspect of this problem is the fact that the model is expected to learn from the small set of labelled data and utilize that knowledge to classify the unlabelled data as well as generalize on the unseen data. A mix of both supervised and unsupervised algorithms is nothing but GANs essentially.

Project 52

Project Medical Datasets Deep Learning 52

AltexSoft

MAY 12, 2023

You may encounter unstructured data in the form of text documents, which can be plain text files (.txt), As a form of electronic communication, emails often contain unstructured text data and various file attachments, such as images, documents, or spreadsheets. txt), Microsoft Word documents (.doc,docx), doc,docx), PDF files (.pdf),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

MARCH 15, 2023

Data Analytics for Gaining Insights The operational, strategic, and tactical decision-making processes heavily depend on information. However, the calculation and data collection within businesses is increasing swiftly. Smart Agents Online group purchasing is popular with consumers.

Management 52

Management Manufacturing Machine Learning Electronics 52