Knowledge Hut

JANUARY 12, 2024

It is used as a pre-processing step in Machine Learning and applications of pattern classification. In my journey as a machine learning enthusiast, I find LDA to be a powerful supervised classification technique, playing a very integral role in crafting competitive machine learning models.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

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

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

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

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

Edureka

MARCH 26, 2025

In this article, we will be diving into the world of Data Imputation, discussing its importance and techniques, and also learning about Multiple Imputations. Data imputation is the method of filling in missing or unavailable information in a dataset with other numbers. What Is Data Imputation?

Medical 40

Medical Datasets Data Analysis Machine Learning 40

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. Datasets are obtained, and forecasts are made using a regression approach.

Project 96

Project Medical Banking Healthcare 96

ProjectPro

OCTOBER 14, 2021

Linear and logistic regression models in machine learning mark most beginners’ first steps into the world of machine learning. Table of Contents 15 Regression Projects in Machine Learning Regression Projects in Finance: Cha-ching! Regression Projects in Healthcare: Health is Wealth!

Machine Learning 52

Machine Learning Project Insurance Medical 52

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. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

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. Sometimes, even the smallest pieces of information can provide a completely unique view of the world. Photo by Ronan Furuta on Unsplash. One of them was, unsurprisingly, Missing Data.

Datasets 117

Datasets Machine Learning Data Data Science 117

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. But the rise of Machine Learning in research has driven a need for new systems that are more performant and more flexible. _slides_specs.

Medical 62

Medical Process Cloud Bytes 62

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

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

Cloudera

JULY 18, 2018

For those asking big questions, in the case of healthcare, an incredible amount of insight remains hidden away in troves of clinical notes, EHR data, medical images, and omics data. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.

Machine Learning 51

Machine Learning Healthcare Medical Electronics 51

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

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

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

AltexSoft

OCTOBER 25, 2021

Natural language processing or NLP is a branch of AI that uses linguistics, statistics, and machine learning to give computers the ability to understand human speech. 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

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

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

ProjectPro

JANUARY 28, 2022

One can train machine learning models to detect and report such anomalies retrospectively or in real-time. You can train machine learning models can to identify such out-of-distribution anomalies from a much more complex dataset.

Machine Learning 52

Machine Learning Python Algorithm Datasets 52

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

Edureka

MARCH 15, 2025

By learning the details of smaller datasets, they better balance task-specific performance and resource efficiency. It is seamlessly integrated across Meta’s platforms, increasing user access to AI insights, and leverages a larger dataset to enhance its capacity to handle complex tasks. What are Small language models?

Entertainment 74

Entertainment Retail Education Datasets 74

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

Edureka

FEBRUARY 13, 2025

In this blog, we’ll explore Few-shot learning, its main ideas, and how it differs from traditional learning methods. What is Few-Shot Learning? Few-shot learning (FSL) is a type of machine learning that helps models make good predictions using very little labeled data.

Deep Learning 52

Deep Learning Datasets Data Machine Learning 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. Generative AI leverages the power of deep learning to build complex statistical models that process and mimic the structures present in different types of data.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

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

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. Citing Microsoft’s principal researcher Rich Caruana, ‘75 percent of machine learning is preparing to do machine learning… and 15 percent is what you do afterwards.’ This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

Snowflake

OCTOBER 17, 2024

Predictive machine learning continues to be a cornerstone of data-driven decision-making. CHG Healthcare , a healthcare staffing company with over 45 years of industry expertise, uses AI/ML to power its workforce staffing solutions across 700,000 medical practitioners representing 130 medical specialties.

Food 111

Food Medical Healthcare AWS 111

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. What is data collection? No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

APRIL 6, 2022

AI requires good data and strong training algorithms, such as through machine learning, to make decisions about what data to send back to decision-makers. The goal is to use machine learning to extract features of relevance — such as browning crops, or rising waters — to plot change between images within seconds.

Big Data 103

Big Data Machine Learning Medical Insurance 103

Knowledge Hut

MAY 3, 2024

In other words, because Apache Spark uses current machine learning frameworks and processes graphs, it has the ability to do more than merely understand data. Spark's primary data structure is Resilient Distributed Datasets (RDD). In fact, some models perform continuous, online learning, and scoring. cache, local space).

Kafka 98

Kafka Scala Java Amazon Web Services 98

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. Is it Data Visualization where you present your findings in form of a report or a Dashboard, or is it Machine Learning where you build ML models and deploy them? For some, it does not matter what the data is about.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

RandomTrees

JUNE 24, 2024

Annotations are essentially labels or metadata added to images to provide information about their content, which is then used to train machine learning models. Scalability limitations which make it impractical for large datasets. Initially, we used a custom dataset focused on potholes.

Medical 52

Medical Machine Learning Retail Datasets 52

Edureka

FEBRUARY 12, 2025

Built by Google, BERT revolutionizes machine learning for natural language processing, opening the door to more intelligent search engines and chatbots. Next Sentence Prediction (NSP): By anticipating whether another will follow a sentence, BERT learns the links between sentences. legal, medical).

IT 40

IT Banking Datasets Architecture 40

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40