Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. It is a subfield of machine learning and artificial intelligence. Medical Diagnosis: Pattern recognition is used in medical imaging for the diagnosis of various conditions.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

MAY 2, 2024

It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen. Let us try to understand some of the more important machine learning terms. Three concepts – artificial intelligence, machine learning and deep learning – are often thought to be synonymous.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

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. Source: Intel.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

DECEMBER 26, 2023

The 12-month course is divided into 8 modules, which include Data Analytics, Data Science, Statistics, Toolkit, Machine Learning – I, Machine Learning – II, Natural Language Processing, Deep Learning, Reinforcement Learning, and Deployment & Capstone Projects.

Medical 98

Medical Cloud Computing Finance Portfolio 98

Knowledge Hut

AUGUST 1, 2023

This article brings forward a wide range of applications of machine learning for healthcare technologies, its benefits, ethical considerations it raises, career prospects in this field, and the future of machine learning and AI in healthcare. But how is machine learning used in healthcare?

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

Knowledge Hut

NOVEMBER 18, 2023

From forecasting future trends to fraud detection, machine-learning platforms are capable of a wide range of tasks and are proactively used by enterprises to help with all their business operations. One of the most popular applications of this AI technology is for training deep learning models, which involves computationally intensive tasks.

Technology 52

Technology Medical Deep Learning Healthcare 52

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. Users can then consult specialists for medical guidance using the system’s diagnosis.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

DECEMBER 27, 2023

We have mentioned the average software developer salary in Singapore offered by the top industries - Industries Companies Healthcare Johnson & Johnson Singapore Medical Group Thomson Medical Group Raffles Medical Group Healthway Medical Corp.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

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. Some Deep Learning frameworks include TensorFlow, Keras, and PyTorch.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 27, 2023

The software includes data analysis and machine learning models that automatically recognize user characteristics and show them product preferences accordingly. Medical Image Analysis Data science applications in healthcare or Medical science have several uses. Analyzing medical images is one of them.

Data Science 52

Data Science Medical Manufacturing Transportation 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. Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making.

Medical 52

Medical Computer Science Scala Machine Learning 52

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

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

U-Next

NOVEMBER 25, 2022

Doctors now have vast amounts of patient data thanks to modern medical technology. They’re also swift and easy to use, which makes them a popular choice for Machine Learning applications. . What Is a Deep Learning Algorithm? . What Is a Deep Learning Network? .

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

RandomTrees

DECEMBER 20, 2023

To replicate human cognition, AI uses a system named deep neural network. Modern medical professionals and institutions use Edge AI for surgical procedures. Moreover, it allows patients to monitor their activities and perform remote surgeries.

IT 52

IT Hospitality Healthcare Deep Learning 52

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 fields such as medical diagnosis, medical diagnostics, financial services etc. That’s what Random Forest is—a set of decision trees.

Medical 52

Medical Machine Learning Datasets Algorithm 52

ProjectPro

JANUARY 27, 2023

OpenCV has a library for statistical machine learning algorithms to better support various computer vision applications. Be it surveillance systems, robotics, automation, medical imaging, or augmented reality, OpenCV is a versatile computer vision library with some amazing functionalities spanning multiple domains.

Python 52

Python Deep Learning Programming Language Algorithm 52

Striim

NOVEMBER 18, 2022

This includes medical history, prescriptions, lab results, diagnoses, and treatments. Medical professionals can not only review medical information but also receive suggestions and recommendations based on this information. The Medical University of South Carolina (MUSC) is a healthcare institution working on this combination.

Healthcare 52

Healthcare Hospitality Medical Electronics 52

Knowledge Hut

NOVEMBER 19, 2023

Additionally, healthcare providers can use them to provide medical aid in remote areas. Agriculture By using robotic process automation machine learning, agriculturists can significantly scale up their farming activities. This helps develop automated systems which can make small decisions without the need for human intervention.

Machine Learning 52

Machine Learning Medical Healthcare Programming 52

Scott Logic

NOVEMBER 24, 2023

I recently embarked on a journey into the world of machine learning through following the fast.ai I have learnt a great deal about the inner workings of neural networks and how deep learning can produce seemingly magical results. Two more modern models are neural networks/deep learning and gradient boosters.

Datasets 52

Datasets Deep Learning Machine Learning Medical 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. It also comes with pretrained machine learning and deep learning models that can be used for speech analysis and sound recognition. Below we’ll give most popular use cases. 8, Issue 9 ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

JULY 28, 2023

The accuracy and effectiveness of anomaly detection can be improved by using machine learning techniques to automatically recognize and extract valuable features from complicated datasets. Anomaly Detection with ML Example Using algorithms and models, machine learning anomaly detection identifies anomalies in a dataset.

Machine Learning 98

Machine Learning Algorithm Datasets Healthcare 98

Knowledge Hut

JANUARY 3, 2024

We can obtain the required meds without inconveniencing ourselves by disclosing the details of our medical conditions to a stranger using these medical ATMs. The KnowledgeHut’s online courses for Data Science offer a variety of specialized data science courses, from Deep Learning to Python Certification.

Entertainment 98

Entertainment Manufacturing Food Transportation 98

U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. The system needs substantial medical information, including illness symptoms and companion conditions. iOS Development . You can carry out specific searches based on your needs. Conclusion.

Project 40

Project Engineering Medical Healthcare 40

ProjectPro

FEBRUARY 25, 2022

Large-scale deep learning applications can be built, trained, and monitored using the platform. It supports major deep learning frameworks like Torch, Tensorflow, and MXNet. In this project, you will deploy your time-series deep learning model on the Azure cloud platform in a multi-part manner.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Knowledge Hut

NOVEMBER 2, 2023

Image Recognition: Machine learning models can be specifically programmed to identify or categorize photos, thus opening doors to a wide range of tasks such as object detection, facial recognition, medical image analysis, and more. While many people have questions like “Is generative AI a type of deep learning?”,

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

ProjectPro

DECEMBER 9, 2021

Medical Image Synthesis using GANs for Pulmonary Chest X-rays As the field of AI is progressing at the speed of light, dedicated research has been going to find novel ways to exploit the sophisticated deep learning models in the field of medical science. High-level overview of SGAN ( Source ) 5.

Project 52

Project Medical Datasets Deep Learning 52

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. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Edureka

SEPTEMBER 11, 2023

Generative AI models can gain a deep understanding of their training data using a wide range of statistical techniques and deep learning architectures, such as Neural Networks, Convolutional Neural Networks (CNNs) for image tasks, and Recurrent Neural Networks (RNNs) for sequential data.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

ProjectPro

SEPTEMBER 6, 2021

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. can be fed to the machine learning models to yield accurate predictions.

Machine Learning 52

Machine Learning Retail Healthcare Medical 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

U-Next

SEPTEMBER 29, 2022

From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . A profound learning model was created to make innovative work as simple and quick as possible. .

Management 52

Management Machine Learning Deep Learning Algorithm 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

Cloudera

MARCH 25, 2019

In recent years, machine learning technologies – especially deep learning – have made breakthroughs which have turned science fiction into reality. In healthcare, medical images are abundant and can be used to build a diagnostic model, but these images are rarely labeled properly.

Machine Learning 60

Machine Learning Deep Learning Medical Computer Science 60

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. For example, you might be interested more in healthcare, where you get to deal with medical or clinical data. Data Science is an advanced skill, and it's important to know why you are learning it.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

U-Next

AUGUST 18, 2022

Medical and health policy choices rely heavily on the insights provided by Data Scientists in the field of medicine. Medical Data Scientists examine how various medications operate and how patients react to them. You must thoroughly grasp ML algorithms like decision forests and unsupervised Machine Learning.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JULY 3, 2023

Natural Language Processing with Deep Learning by Stanford University: Candidates must be fluent in Python and have a solid understanding of mathematics, foundations for machine learning, and statistics. It aids students in developing a thorough understanding of data pre-treatment, model validation, and ML resources.

Engineering 52

Engineering Unstructured Data Certification Computer Science 52