Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. This field was again popularised by the Imagenet Challenge- Imagenet is a huge database of labeled images, the dataset has now over a million images with thousands of labels.

Deep Learning 40

Deep Learning Python Medical Algorithm 40

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. Pattern recognition is a rapidly growing field with a wide range of applications.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

RandomTrees

JUNE 24, 2024

Fig: 1: Image Annotation Challenges of manual Annotation Complications in manually annotating visual data: It is Time-consuming and labor-intensive, especially for large datasets. Scalability limitations which make it impractical for large datasets. Initially, we used a custom dataset focused on potholes.

Medical 52

Medical Machine Learning Datasets Retail 52

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

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

Striim

JULY 18, 2024

Emerging technology and the utilization of real-time data enable medical professionals to monitor a patient’s prognosis quickly and with minimal interruption. The best part is that it enables prompt intervention, allowing medical professionals to take a proactive rather than reactive approach to healthcare.

Healthcare 52

Healthcare Medical Hospitality Algorithm 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. Datasets are obtained, and forecasts are made using a regression approach.

Project 96

Project Medical Banking Healthcare 96

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). This helps the companies keep a check on their production pipeline.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

Edureka

JUNE 7, 2024

Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist. paintings, songs, code) Historical data relevant to the prediction task (e.g.,

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

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

Scott Logic

SEPTEMBER 13, 2024

At their core, ML models learn from data. They are trained on large datasets to recognise patterns and make predictions or decisions based on new information. During the model evaluation phase (validation mode), we will use a labelled dataset of emails to calculate metrics like accuracy, precision and recall.

Medical 52

Medical Hospitality Datasets Machine Learning 52

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly. They excel at identifying subtle anomalies and adapt to changing patterns. Types of Anomalies 1.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 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

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

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Overall, Big Data and Machine Learning are complementary fields. Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions.

Machine Learning 52

Machine Learning Big Data Deep Learning Algorithm 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Steps of audio analysis with machine learning.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

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. Most often, the goal is to predict a target feature of the dataset based on the rest.

Datasets 52

Datasets Machine Learning Deep Learning Medical 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Neural Networks Explore Deep Learning, starting with Neural Networks.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

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

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. For example, researchers may employ ML to analyze demographics, medical histories, genetic makeup, and other data to find and choose trial participants.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

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. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. This is particularly true when working with complex deep-learning models that require large amounts of data to perform well.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Edureka

AUGUST 29, 2024

Regression, classification, clustering, and deep learning models are samples of common model types. To further comprehend the dataset, do the exploratory data analysis. Use the training dataset to coach the model when it’s been chosen. Use the testing dataset to assess the model’s performance after training.

Data Science 40

Data Science Medical Algorithm Datasets 40

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

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 dealing with a small dataset as well as swimming in the ocean of information, they become comfortable and remAIn consistent. Like pop stars on the music scene, deep neural networks get all the attention.

Medical 52

Medical Machine Learning Algorithm Datasets 52

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. Following this, these models make use of a complex computing process, which we refer to as deep learning, to identify common patterns and characteristics in those data.

Medical 52

Medical Datasets Deep Learning Healthcare 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

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 Machine Learning Datasets 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

ProjectPro

FEBRUARY 25, 2022

Each dataset has a separate pipeline, which you can analyze simultaneously. To assess how the model works against new datasets, you need to divide the existing labeled data into training, testing, and validation data subsets at this point. Large-scale deep learning applications can be built, trained, and monitored using the platform.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

ProjectPro

JANUARY 20, 2022

These statistics show that it's a perfect time to pursue a career in machine learning and artificial intelligence. Prerequisites to Learn Machine Learning Machine learning engineers often need a bachelor's degree in computer science, mathematics, statistics, or a related discipline.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 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

ProjectPro

AUGUST 2, 2021

It is also an important step used even in advanced critical applications like medical image processing, making operations like derivative computation numerically stable. You can try to replicate the results by using this Kaggle dataset ImageProcessing. An example of the results of the skew correction operation has been shown.

Coding 40

Coding Python Process Project 40

Edureka

SEPTEMBER 11, 2023

They’re familiar with the frameworks already in place and use that knowledge to create new information or data that fits in with the rest of the dataset convincingly. To summarise, generative AI is an effective tool in machine learning and artificial intelligence that draws on preexisting data to create new, similar data.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

Edureka

JUNE 12, 2024

Azure’s AI services enable a wide range of AI capabilities, from machine learning and deep learning to natural language processing and computer vision. Azure provides a powerful platform for building intelligent applications using advanced analytics, machine learning, and artificial intelligence.

Machine Learning 52

Machine Learning Deep Learning Healthcare Finance 52