U-Next

MARCH 1, 2023

These may be a notch ahead of the Artificial Intelligence Projects for students. To create facial recognition systems, it applies the principles of machine learning, deep learning, face analysis, and pattern recognition. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

APRIL 26, 2024

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Medical Data: What to Consider When Working with Healthcare Information. In the medical sphere, sensitive details are called protected health information or PHI. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 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. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 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 Deep Learning Healthcare 122

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

Knowledge Hut

JULY 28, 2023

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. 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.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

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

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. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. Artificial Intelligence (AI). Neural Networks (NNs).

Medical 62

Medical Process Cloud Bytes 62

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. Basics of Machine Learning " style="height: 402px;"> To put it simply, machine learning involves learning by machines.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

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 3, 2024

E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm. It has data ranging from image formats like scans etc to specific medical industry standards and wearable tracking devices.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry.

Healthcare 105

Healthcare Unstructured Data High Quality Data Medical 105

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

Striim

JULY 18, 2024

Emerging technology and the utilization of real-time data enable medical professionals to monitor a patient’s prognosis quickly and with minimal interruption. The best part is that it enables prompt intervention, allowing medical professionals to take a proactive rather than reactive approach to healthcare.

Healthcare 52

Healthcare Medical Hospitality Algorithm 52

Edureka

FEBRUARY 13, 2025

FSL uses this idea to help with situations where it is hard, costly, or almost impossible to collect data, like: Finding rare diseases when there isn’t much medical image data available. Learn more about GPU requirements for deep learning from NVIDIA. Check out this Deep Learning Guide from Edureka to get started.

Deep Learning 52

Deep Learning Datasets Data Machine Learning 52

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. There is a much broader spectrum of things out there which can be classified as data.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

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., which help improve decision-making processes. This helps the companies keep a check on their production pipeline.

Pharmaceutical 52

Pharmaceutical Data Science Medical Machine Learning 52

Knowledge Hut

JUNE 13, 2024

In the same way, big data has been transforming the medical sector, fundamentally changing how the most basic procedures of health monitoring are conducted, and that too by shaping and mapping unstructured information. Now when this technology is applied to the medical field, it can help monitor patient health. No wonder 3.5

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52

RandomTrees

APRIL 30, 2024

It has completely changed our approach to medical diagnosis, treatment, and remote patient care. From medical image analysis to drug discovery and personalized treatment, Generative AI is revolutionizing global health initiatives and telemedicine. This is applied to the healthcare sector as well.

Medical 52

Medical Healthcare Algorithm Consulting 52

U-Next

NOVEMBER 25, 2022

It means that Machine Learning applications need to be able to handle large amounts of data quickly and efficiently. Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Overall, Big Data and Machine Learning are complementary fields. billion to $209.91

Machine Learning 52

Machine Learning Big Data Deep Learning Algorithm 52

ProjectPro

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Knowledge Hut

NOVEMBER 18, 2023

Machine Learning Platforms Machine learning is an AI technology that focuses on developing algorithms and models, enabling computers to learn patterns and make decisions without being explicitly programmed. One of the most profound impacts of this AI technology can be witnessed, especially in the healthcare sector.

Technology 52

Technology Medical Deep Learning Healthcare 52

AltexSoft

AUGUST 27, 2022

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

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. Customer data is collected using machine learning algorithms to identify patterns and insights.

Insurance 75

Insurance Machine Learning Project Algorithm 75

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. Like Java, C, Python, R, and Scala. is highly beneficial.

Medical 52

Medical Computer Science Machine Learning Scala 52

ProjectPro

JANUARY 27, 2023

Computer vision libraries provide in-built functions and optimized algorithms for various image and video processing tasks. These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding.

Python 52

Python Deep Learning Programming Language Algorithm 52

RandomTrees

JUNE 24, 2024

This process is crucial in computer vision tasks, as it speeds up the annotation and improve efficiency in training machine learning models. Automatic image annotation often utilizes deep learning models to create preliminary annotations, enhancing the accuracy and speed of the annotation.

Medical 52

Medical Machine Learning Retail Datasets 52

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

ProjectPro

JANUARY 20, 2022

is a question that every beginner seeking a career in the machine learning domain has in his mind. Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. In other words, machine learning facilitates the generation of analytical models.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. ML algorithms forecast over 50 percent of air conditioning failures a month before they actually happen.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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. An example of document structure in healthcare insurance.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

ProjectPro

SEPTEMBER 6, 2021

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. The AI and Machine learning-based outlier detection system at CitiBank is in use in over 90 countries.

Machine Learning 52

Machine Learning Retail Healthcare Algorithm 52

ProjectPro

FEBRUARY 25, 2022

Evolution of Machine Learning Applications in Finance : From Theory to Practice Here are some significant advantages of implementing a data pipeline in machine learning- Efficient Scheduling and Runtime As the machine learning process evolves, you need to repeat many aspects of the machine learning pipeline throughout the organization.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52