AltexSoft

OCTOBER 25, 2021

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. 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.

Medical 52

Medical Healthcare Process Hospitality 52

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 15, 2022

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

JULY 10, 2021

By building time series analysis and forecasting projects, you're learning by doing what you want to do. Practicing the implementation of various time series analysis and forecasting techniques on real-world machine learning datasets is essential to master time series analysis concepts for machine learning.

Project 40

Project Banking Datasets Python 40

AltexSoft

MAY 5, 2023

The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

JUNE 16, 2022

For example, it can help with predicting a patient’s length of stay in a hospital. If the dataset is imbalanced (the classes in a set are presented unevenly), the result won’t be something you can trust. To calculate it, you divide all True Positives by the sum of all True Positives and False Negatives in the dataset.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

AltexSoft

FEBRUARY 21, 2023

Check out our video on how revenue management works in hospitality. Before the advent of machine learning, prediction activities were largely manual, time-consuming, and relied heavily on the experience of hotel managers. But there are particular challenges associated with hotel price prediction using machine learning.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

AUGUST 28, 2021

Each project explores new machine learning algorithms, datasets, and business problems. You will have a strong foundation in machine learning and its ways by practicing all these machine learning projects. The dataset contains twenty fire images for training and ten images for testing.

Portfolio 52

Portfolio Project Datasets Algorithm 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. What is to be done to acquire a sufficient dataset? labeling data by medical experts to create a ground-truth dataset.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

AUGUST 2, 2021

You can try to replicate the results by using this Kaggle dataset ImageProcessing. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 5) Image Compression using MATLAB Quoting Stephen Hawking, “A picture is worth a thousand words.and uses up a thousand times the memory.”

Coding 40

Coding Python Process Project 40

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. In this blog post, I will explain the underlying technical challenges and share the solution that we helped implement at kaiko.ai , a MedTech startup in Amsterdam that is building a Data Platform to support AI research in hospitals. Artificial Intelligence (AI). Neural Networks (NNs).

Medical 60

Medical Process Cloud Bytes 60

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. They won’t make accurate predictions if trained on small datasets.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

FEBRUARY 16, 2022

The 19 layers deep convolutional neural network did not follow the ongoing trend of using high dimensional convolutional layers but instead used simple 3x3 convolutional layers. The nearby police stations and hospitals can also be notified of fatal accidents. You can find the dataset at Cassava Leaf Disease Classification.

Architecture 52

Architecture Deep Learning Banking Datasets 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

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. Let’s have a look at how voice recognition software is being put to use in various industries:

Technology 40

Technology Insurance Hospitality Machine Learning 40

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. This algorithm is slow to train for a given dataset but can detect faces with impressive speed and accuracy in real-time.

Algorithm 52

Algorithm Medical Datasets Python 52

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

OCTOBER 25, 2021

Researchers at Purdue University in Indianapolis have developed a machine-learning algorithm that predicts the relapse rate for myelogenous leukemia with 90% accuracy. Source Code - Medical Image Segmentation Deep Learning Project 3. The algorithms are trained to recognize complex patterns in radiographic images.

Healthcare 52

Healthcare Machine Learning Project Medical 52

AltexSoft

JUNE 9, 2023

Primarily trained on extensive text datasets, they leverage learned patterns to anticipate the next word in a sentence and create contextually appropriate and grammatically sound text. Types of language models Language models come in two main categories: statistical models and those based on deep neural networks.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

DECEMBER 1, 2017

As the datasets available were popular, it helped them find out what medications that have been on, how many times they have been to their General Practitioner. Big data has even helped identify for what purpose they had to go to the hospital and what prescription they have been cashing in.

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

AltexSoft

DECEMBER 15, 2021

Below are several real-life examples, proving the practicality of automated machine learning across different industries. The University of Pittsburgh Medical Center, or UPMC for short, sprawls across 40 hospitals and provides services in various specialty areas, including living donor liver transplants (LDLT.)

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59