AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

MAY 2, 2024

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? As you move across this post, you would get a comprehensive idea of various aspects that you ought to know about machine learning. What is Machine Learning and Why It Matters?

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 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.

Medical 52

Medical Datasets Machine Learning Hospitality 52

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

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Machine learning classification with natural language processing (NLP). Source: affine.ai.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Knowledge Hut

AUGUST 1, 2023

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. The latest developments have empowered these algorithms to prompt or better even to take actions, as needed.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

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

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

Striim

JANUARY 30, 2025

When integrated effectively, AI and machine learning (ML) models can process data streams at near-zero latency, empowering teams to make split-second decisions. models can detect potential complications (like sepsis or respiratory decline) in real time, alerting medical staff before conditions worsen.

Systems 52

Systems Management Hospitality Healthcare 52

ProjectPro

SEPTEMBER 6, 2021

The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. Machine Learning has a wide range of use cases and applications in this area. Billion in 2024.

Machine Learning 52

Machine Learning Retail Healthcare Algorithm 52

U-Next

NOVEMBER 25, 2022

Introduction to Machine Learning and Big Data . Big Data and Machine Learning are one of the most crucial and irreplaceable technologies today. Machine Learning allows computers to learn from data automatically without being explicitly programmed. What Is Big Data? .

Machine Learning 52

Machine Learning Big Data Deep Learning Algorithm 52

Edureka

APRIL 28, 2025

Vision Language Models (VLMs) represent a substantial development in machine learning by merging computer vision with natural language processing (NLP) capabilities. Open-source Vision Language Models are machine learning models that use visual and language input to predict or generate answers.

Datasets 40

Datasets Medical Machine Learning Healthcare 40

ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Edureka

JUNE 7, 2024

Industry Applications of Predictive AI While both involve machine learning and data analysis, they differ in their core objectives and approaches. From a technical standpoint, generative AI models depend on various architectures and algorithms to achieve their remarkable creative capabilities.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Snowflake

JANUARY 17, 2024

Machine learning is used in security algorithms to detect anomalies, and recommendation engines tailor offers for the next thing you should buy, watch or listen to. AI models can scan medical and pharmaceutical data for new treatments and lead to new medical discoveries.

Telecommunication 119

Telecommunication Medical Pharmaceutical Entertainment 119

ProjectPro

FEBRUARY 25, 2022

What is a Machine Learning Pipeline? A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. Table of Contents What is a Machine Learning Pipeline?

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Such a platform enables an organization to curate different types of data from diverse sources and identify which data to feed to ML algorithms to generate meaningful insights, he said.

Medical 88

Medical Hospitality Data Lake Healthcare 88

Knowledge Hut

NOVEMBER 19, 2023

Additionally, with the rise of machine learning models, programming robots to identify patterns and effectively apply what they learn has been a revolutionary breakthrough. This has given rise to machine learning for robotics, thus creating lucrative career options for candidates belonging to data science or computer science.

Machine Learning 52

Machine Learning Medical Healthcare Programming 52

Knowledge Hut

JULY 28, 2023

On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Start by learning the best language for data science, such as Python.

Programming Language 98

Programming Language Data Science Programming Java 98

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. In this regard, data i mputation strategies based on machine learning are generally the most popular. By the dropping the missing values, the LDA algorithm can now operate normally.

Datasets 117

Datasets Machine Learning Data Data Science 117

ProjectPro

SEPTEMBER 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to choose the Best Probability Course for Machine Learning?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

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

Striim

JUNE 4, 2024

With the help of real-time machine learning (ML) analytics, it’s possible to overhaul your decision-making processes to be more efficient, accurate, and fast. Real-time ML analytics refers to the process of applying ML algorithms to data as it is created, enabling businesses to derive insights and make decisions in near real-time.

Machine Learning 52

Machine Learning Algorithm Healthcare Utilities 52

ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

Finance 52

Finance Machine Learning Project Banking 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. Medical transcription.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

DECEMBER 21, 2023

Machine learning is a subset of artificial intelligence, which stresses the analysis and identification of patterns and structure of data interpretation. With the rising demand for machine learning technologies in almost all sectors, there is also a soaring need for experts who are skilled in this field.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

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

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. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. One can train machine learning models to detect and report such anomalies retrospectively or in real-time.

Machine Learning 52

Machine Learning Python Algorithm Datasets 52

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

MAY 3, 2024

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Additional libraries, built atop the core, allow diverse workloads for streaming, SQL, and machine learning. You can combine these libraries seamlessly in the same application.

Hadoop 98

Hadoop Scala Healthcare Big Data 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

Knowledge Hut

NOVEMBER 2, 2023

Among various such implementations, two of the most prominent subsets that have garnered enough attention are Generative AI and Machine Learning. Both Generative AI and Machine Learning share the common goal of enabling machines to learn and make predictions.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52