Knowledge Hut

JANUARY 22, 2024

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 52

Business Intelligence Coding Project BI 52

AltexSoft

NOVEMBER 17, 2021

An example of document structure in healthcare insurance. Another example is the insurance industry that processes tens of thousands of claims daily. For example, Wipro , a software vendor, provides an NLP classifier to detect fake claims in the insurance sector. Stating categories and collecting training dataset.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

Insurance 59

Insurance Programming Language Manufacturing Healthcare 59

Edureka

APRIL 17, 2023

Here are a few project ideas that are suitable for beginners: Analyzing a dataset to identify trends and patterns: One of the most common projects for beginners is to analyze a dataset to identify trends and patterns. As a beginner, you can start by learning how to use visualization tools like Tableau or Power BI.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

OCTOBER 8, 2021

To build a customer segmentation machine learning model, you can use unsupervised machine learning algorithms like K- Means Clustering. You can start by downloading the Online Retail Dataset. Perform exploratory data analysis of the dataset to understand the various attributes in the dataset better.

Retail 52

Retail Machine Learning Project Datasets 52

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

U-Next

SEPTEMBER 19, 2022

If you are a Data Scientist, you’re well aware of the numerous SQL statements, excel formulas, functions, and algorithms in your profession. Machine Learning is used in our automated systems, Facebook algorithms, and Search engine results. It all starts with massive datasets and a lot of creative code. Introduction.

Data Science 40

Data Science Algorithm Machine Learning SQL 40

Knowledge Hut

DECEMBER 26, 2023

Data science develops predictive models using sophisticated machine learning algorithms. You can acquire and use data sets for free from various dataset sources. You can acquire and use data sets for free from various dataset sources. Additionally, they could get advantages like paid vacation days and health insurance.

Data Science 52

Data Science Portfolio Recruitment Education 52

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

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. From my standpoint, data scientists may use it to spot fraudulent conduct in insurance claims.

Data Science 98

Data Science Transportation Hospitality Banking 98

Cloudera

APRIL 6, 2022

AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. “Maybe you could have multiple destinations on Earth with the same dataset, doing different things.”

Big Data 98

Big Data Machine Learning Medical Insurance 98

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. Third , there’s the “black-box” element: viz.,

Insurance 79

Insurance Finance Portfolio Government 79

AltexSoft

OCTOBER 22, 2021

Deep learning is a subfield of machine learning where artificial neural networks — complex algorithms modeled to work in a way similar to human brains — learn from large sets of data. Artificial intelligence (AI) is simply any computer algorithm that remotely resembles human problem-solving. What is deep learning?

Deep Learning 52

Deep Learning Raw Data Algorithm Machine Learning 52

Knowledge Hut

JULY 26, 2023

Columnar stores, such as Apache Cassandra and Apache HBase, organize data by columns rather than rows, allowing for faster read and write operations on huge datasets. They provide specialized data types and indexing algorithms for storing and querying map, coordinate, and spatial relationship information. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

AltexSoft

SEPTEMBER 19, 2023

External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 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. Besides that, algorithms are equipped to adapt to differences in accents and pronunciation. A sample from an x-ray images dataset with annotations.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

MAY 2, 2024

Be it telecommunication, e-commerce, banking, insurance, healthcare, medicine, agriculture, biotechnology, etc. Fault Tolerance: Apache Spark achieves fault tolerance using a spark abstraction layer called RDD (Resilient Distributed Datasets), which is designed to handle worker node failure. You name the industry and it's there.

Scala 96

Scala Hadoop Datasets Java 96

ProjectPro

FEBRUARY 19, 2021

Therefore, it is necessary to detect them early on or use algorithms resistant to outliers. The equation for polynomial regression would obviously be a multinomial one: y = a + bX + cX 2 + dX 3 …… Before we go any further, let me introduce a concept called loss function, used to assess the usefulness of our regression algorithm.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

NOVEMBER 14, 2015

Given a graphical relation between variables, an algorithm needs to be developed which predicts which two nodes are most likely to be connected? Data Integration 3.Scalability Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized Specialized Data Analytics 7.Streaming Streaming Analytics 8.Speech

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 6, 2015

How Utica National Insurance Group uses big Data for Predictive Support- Utica National Insurance Group uses predictive analytics to monitor continuously incoming credit reports that can measure the risk appetite depending on a range of existing data rather than just considering the credit score alone.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

JANUARY 16, 2024

It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting. The algorithms learn from environmental feedback to enhance recommendations based on your current habits. What Is Machine Learning?

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Risk Management: By using big data to analyze a variety of datasets, risks associated with credit scoring, investment portfolios, and market volatility may be assessed and managed, assisting in the development of efficient risk reduction techniques.

Big Data 52

Big Data Retail Recruitment Transportation 52

ProjectPro

OCTOBER 27, 2021

There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. You can start the stock price prediction project by applying simple ML algorithms like Averaging and Linear Regression. Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

DECEMBER 14, 2021

AutoML Cashflow Optimization for Insurance Company 8. Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things. You can use Microsoft's sample dataset.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It bundles a vast collection of data structures and ML algorithms.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

U-Next

OCTOBER 27, 2022

Artificial Intelligence (AI) and Machine Learning (ML) algorithms have advanced to the point where they can now analyze enormous datasets and provide much-increased accuracy via self-learning and adapting to new circumstances. Insurance Risk Detection Using Natural Language Processing .

Technology 40

Technology Insurance Hospitality Machine Learning 40

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

ProjectPro

FEBRUARY 1, 2022

Feature Engineering — Talk about the approach you took to select the essential features and how you derived new ones by adding more meaning to the dataset flow. Since this is a classification problem, I will check the prediction using the Decision trees and Random forest as this algorithm tends to do better for classification problems.

Data Science 52

Data Science Datasets Banking Machine Learning 52

U-Next

OCTOBER 20, 2022

An inaccuracy known as bias in data occurs when specific dataset components are overweighted or overrepresented. In reality, computers, data, and algorithms are not entirely objective. It’s we, humans, that technologies and algorithms. Introduction . The key to overcoming bias is being aware of its warning signs.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

U-Next

AUGUST 26, 2022

Algorithm-driven firms are the new inventors and corporate executives because they go well beyond typical KPI measurement and reviewing to uncover hidden patterns. Prescriptive Analytics is complex to deploy and maintain since it makes use of cutting-edge tools and technology, including machine learning, business requirements, and algorithms.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

APRIL 1, 2021

A 2020 Dice report said that the demand for data scientists increased by an average of 50% across healthcare, telecommunications, media, and the banking, financial services, and insurance (BFSI) sectors, among others. Growth stops when learning stops and there are a lot of new machine learning algorithms coming up.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

JUNE 24, 2021

Machine learning and Natural language processing skills : Processing of the data may require algorithms and techniques from the fields of machine learning and natural language processing to be applied. An approach to performing customer market basket analysis can be done using Apriori and Fp Growth data mining algorithms.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. The particular amount largely depends on your goals and the complexity of the algorithm employed.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

U-Next

NOVEMBER 10, 2022

It extracts relevant facts and insights from structured, unstructured, and semi-structured datasets using scientific approaches, algorithms, methods, and tools. When performing data analysis and preparing a dataset for model training, it is essential to consider the probability distribution. .

Datasets 52

Datasets Insurance Algorithm Data Analytics 52