ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? 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.

Insurance 75

Insurance Machine Learning Project Algorithm 75

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.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

JANUARY 11, 2024

Data science, especially in medical imaging, has been helping healthcare professionals come up with better diagnoses and effective treatments for patients. 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

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. Let’s delve deep to understand it.

Data Analytics 52

Data Analytics Coding Project Medical 52

AltexSoft

MARCH 22, 2022

But collecting real data is not always an option due to the cost, sensitivity, and processing time. Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. What is synthetic data? Synthetic data is different from augmented and randomized data.

Machine Learning 52

Machine Learning IT Medical Insurance 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. . And that comes down to being able to act on data at the precise time it requires action. Real-time Demands.

Medical 119

Medical Retail Datasets Algorithm 119

Knowledge Hut

OCTOBER 27, 2023

This project implements advanced technologies, such as computer vision, machine learning, and natural language processing, to translate sign language gestures into audible or written communication.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. Wearable Devices Wearable devices such as smartwatches, fitness trackers, and medical devices are becoming increasingly popular. If you want to know more about IoT, check out online IoT training.

Coding 98

Coding Transportation Medical Hospitality 98

Knowledge Hut

APRIL 24, 2024

This project implements advanced technologies, such as computer vision, machine learning, and natural language processing, to translate sign language gestures into audible or written communication.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Snowflake

DECEMBER 6, 2023

This issue, and similar issues I’ve watched loved ones manage in the past, piqued my interest in healthcare data as a whole, particularly whole-person data. Healthcare data can and should serve as a holistic, actionable tool that empowers caregivers to make informed decisions in real time. Not for lack of caring!

Healthcare 93

Healthcare Aggregated Data Medical Data 93

RandomTrees

JANUARY 29, 2024

In the rapidly evolving field of computer vision, data is the lifeblood that fuels innovation. Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. What Is Synthetic Data? What Is Synthetic Data?

Medical 52

Medical Retail Entertainment Datasets 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It’s a study of Computer Algorithms, which helps self-improvement through experiences. Why Should You Pursue A Career In Artificial Intelligence?

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

DECEMBER 27, 2023

Database Structures and Algorithms Different organizations use different data structures to store information in a database, and the algorithms help complete the task. These industries include companies that offer medical services, insurance, manufacturing drugs, or distributing medical equipment.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

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.

Project 96

Project Healthcare Deep Learning Transportation 96

Towards Data Science

AUGUST 29, 2023

Earlier this year, I started a piece on several data quality issues (or characteristics) that heavily compromise our machine learning models. One of them was, unsurprisingly, Missing Data. In this scenario, we may consider more robust strategies than can infer the missing information from the observed data.

Datasets 104

Datasets Machine Learning Data Data Science 104

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

AltexSoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

JUNE 14, 2021

For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle. If the user’s data indicate the emergence of a serious medical condition, they can send the customer content designed to change their detrimental lifestyle or recommend immediate treatment. Personalized communications.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

Knowledge Hut

MARCH 26, 2024

To find patterns, trends, and correlations among massive amounts of data, they leverage their knowledge in machine learning, statistics, and data analysis. Predictive systems and machine learning algorithms present results in an understandable way.

Medical 52

Medical BI Programming Language Healthcare 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

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

DECEMBER 7, 2023

AI has a plethora of uses, including chatbots, recommendation engines, autonomous cars, and even medical diagnosis. Data Collection: Gather the necessary data that the AI model will use for learning and making predictions. The quality and quantity of data are crucial to the model's performance.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Knowledge Hut

FEBRUARY 28, 2024

Alongside this, Big Data Analytics certification will help you learn practical applications with case studies and drive the future of big data. Let us take a look at the key technologies that are currently driving the future of big data: 1. And AI-powered algorithms are the best at this.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Snowflake

APRIL 20, 2023

The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based. Data access is daily and seamless, another significant benefit in the industry’s competitive landscape. Ambee’s environmental data combines data from on-ground sensors, satellites, and multiple open sources.

Medical 57

Medical Retail Python Pharmaceutical 57

Knowledge Hut

NOVEMBER 16, 2023

Generative AI can be referred to as a subset of machine learning that primarily focuses on creating AI models capable of generating various types of content that share similar characteristics to human-created content. These models are fed with vast amounts of data during the initial stage. How Does Generative AI Work?

Medical 52

Medical Datasets Healthcare Deep Learning 52

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Based on the common attributes of the data, this model nests them together. What Are Predictive Models? . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

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

ProjectPro

DECEMBER 9, 2021

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 4. Semi-Supervised GAN (SGAN) using MNIST dataset Semi-Supervised Learning is a unique type of problem where the training dataset consists of a small number of labelled and huge unlabelled data.

Project 52

Project Medical Datasets Deep Learning 52

Cloudera

NOVEMBER 9, 2018

Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 Although the hackers did not amend the compromised records, the stolen data – such as patients’ names, national identification numbers, and home addresses – could have been sold to the dark web.

Machine Learning 56

Machine Learning Banking Government Media 56

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

Data Science 52

Data Science Project Food Pharmaceutical 52

U-Next

AUGUST 26, 2022

Data Analytics Illustration. Organizations may alter their company and environment electronically via the use of Data Analytics, rendering them more creative and forward in their judgment call. Importance of Data Analytics. Any organization needs Data Analytics to function. Components of Business Analytics/Data Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Knowledge Hut

NOVEMBER 15, 2023

Career Objective for Data Scientist Role resumecatstatic.com Example 1: I am a data science professional with experience in data analysis, machine learning, and predictive modeling. I am passionate about data and its potential to impact business decisions.

Finance 98

Finance Business Intelligence Database-centric Certification 98

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. It is the data that supports the rendering of video in 3D movies.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52