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

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

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

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 builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Machine Learning Scala 52

Knowledge Hut

JUNE 4, 2024

In addition, data scientists use machine learning algorithms that analyze large amounts of data at high speeds to make predictions about future events based on historical patterns observed from past events (this is known as predictive modeling in pharma data science).

Pharmaceutical 52

Pharmaceutical Data Science Medical Machine Learning 52

Edureka

MARCH 26, 2025

Non-linear Transformation: By utilizing activation functions such as ReLU, sigmoid, or tanh, hidden layers augment the network’s ability to learn from data that isn’t limited to linearly separable information. Algorithmic Trading: Predicting stock trends using historical data for automated trading strategies.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. How could data analytics boost this process? Obviously, precision medicine requires a large amount of data and is enabled by advanced ML models.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

AltexSoft

JUNE 16, 2022

Before we start with metrics, it’s worth recalling the machine learning pipeline for further understanding of when and why the model has to be tested and evaluated. Machine learning pipeline. The typical machine learning model preparation flow consists of several steps. What does it show? Important to understand.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

NOVEMBER 18, 2023

Companies are actively training machine learning models to search patterns from IoT devices and make forecasts in several fields like: Data quality analysis Behavioral analysis Service quality Edge computing Smart Healthcare Resource consumption Neural networks Attack detection and prediction Distributed deep learning, etc.

Machine Learning 52

Machine Learning Transportation Healthcare Google Cloud 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JANUARY 31, 2023

There are many reasons why the modern insurance sector prefers machine learning and data science : Rapidly growing data volumes- Consumer electronics with an internet connection, such as smartphones, smart TVs, and fitness trackers, are becoming increasingly popular today.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

NOVEMBER 16, 2023

Generative AI models primarily work by leveraging neural networks and machine learning techniques to generate content, be it texts, images, music, or other formats of data. These models are fed with vast amounts of data during the initial stage. Once identified, they then use that information to create new convincing outputs.

Medical 52

Medical Datasets Deep Learning Healthcare 52

Edureka

SEPTEMBER 11, 2023

Generative AI’s magic comes from understanding the intricate structures and patterns in its training data. These algorithms frequently employ methods like Bayesian inference, Markov Chains, and maximum likelihood estimation to create new data. On top of these statistical models, more intricate architectural designs are built.

Algorithm 52

Algorithm Deep Learning Entertainment Healthcare 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. However, data collection and analysis have been commonplace in the healthcare sector for ages.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

U-Next

AUGUST 18, 2022

Beginner Data Scientists: Activities are usually assigned to entry-level Data Scientists, who frequently need support from more experienced Data Scientists. Data collection and cleansing will be the first steps for new personnel in the Data Science procedure. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. It is the data that supports the rendering of video in 3D movies.

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

U-Next

SEPTEMBER 22, 2022

Increasing numbers of businesses are using predictive analytics techniques for everything from fraud detection to medical diagnosis by 2022, resulting in nearly 11 billion dollars in annual revenue. . There are two types of predictive algorithms available: those that use machine learning or those that use deep learning.

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

NOVEMBER 18, 2021

Deep learning models have been used recently for bioactivity and synthesis prediction for drugs and vaccines in addition to molecular design. Zomato uses ML and AI to boost their business growth, with the massive amount of data collected over the years from food orders and user consumption patterns.

Data Science 52

Data Science Project Food Pharmaceutical 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

Edureka

APRIL 1, 2025

Data augmentation is critical for boosting the performance of machine learning models, particularly deep learning models. The quality, amount, and importance of training data are important for how well these models perform. One of the main problems with using machine learning in real life is not having enough data.

Datasets 40

Datasets Machine Learning Deep Learning Data 40