ProjectPro

JUNE 6, 2025

Practical application is undoubtedly the best way to learn Natural Language Processing and diversify your data science portfolio. Many Natural Language Processing (NLP) datasets available online can be the foundation for training your next NLP model. However, finding a good, reliable, and valuable NLP dataset can be challenging.

Datasets 40

Datasets Process Project Medical 40

Knowledge Hut

APRIL 26, 2024

Datasets are the repository of information that is required to solve a particular type of problem. Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

ProjectPro

JUNE 6, 2025

This project aims to identify patients who may have depression using machine learning and data in a patient's medical file. Use the German traffic dataset for this project. One of the unique streamlit dashboard examples is the depression prediction dashboard streamlit project.

Python 74

Python Project Google Cloud Medical 74

ProjectPro

JUNE 6, 2025

Each dataset has a separate pipeline, which you can analyze simultaneously. Get Ready for a Successful Career in AI with what many call the Best Deep Learning Course Online ! The model evaluation step uses several criteria to compare predictions on the evaluation dataset with actual values.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

In such cases, it is easy to use the methods of Transfer Learning that allows users to leverage the knowledge of pre-trained models that have been trained on large datasets. One way researchers have solved this problem is by introducing the technique of Transfer Learning. So, let's begin!

Deep Learning 40

Deep Learning Project Food Datasets 40

ProjectPro

JUNE 6, 2025

A curated list of interesting, simple, and cool neural network project ideas for beginners and professionals looking to make a career transition into machine learning or deep learning in 2023. Why building Neural Network Projects is the best way to learn deep learning? What is a Simple Neural Network?

Project 63

Project Deep Learning Banking Datasets 63

ProjectPro

JUNE 6, 2025

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. Various techniques such as classification, semantic segmentation, medical object detection , etc., are being applied to achieve the same. PREVIOUS NEXT <

Architecture 90

Architecture Deep Learning Banking Hospitality 90

ProjectPro

JUNE 6, 2025

This statistic is a clear indicator of the fact that the use of GPUs for machine learning has evolved in recent years. Deep learning (a subset of machine learning) necessitates dealing with massive data, neural networks, parallel computing, and the computation of a large number of matrices. GPUs come into play here.

Machine Learning 65

Machine Learning Project Deep Learning Algorithm 65

ProjectPro

JUNE 6, 2025

By extracting features from the images through a deep learning model like MobileNetV, you can use the KNN algorithm to display the images from an open-source dataset similar to your image. It is possible to build such a system with deep learning models. Well, you can build your Similar Image Finder too.

Project 66

Project Deep Learning Datasets Algorithm 66

ProjectPro

JUNE 6, 2025

You can train machine learning models can to identify such out-of-distribution anomalies from a much more complex dataset. However, substantially insufficient data is likely available for one particular species, thus resulting in an imbalance in the dataset. Become a Certified Deep Learning Engineer.

Machine Learning 60

Machine Learning Python Algorithm Datasets 60

ProjectPro

JUNE 6, 2025

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 49

Deep Learning Machine Learning Datasets Data 49

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. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

JUNE 6, 2025

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 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

Cognitive Engines: Deep learning and machine learning models that enable decision-making, reasoning, and strategy development. Memory Systems: Persistent data structures that allow agents to learn from past interactions. Machine Learning and Deep Learning: Building multiple models that underscore intelligent behavior.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

ProjectPro

JUNE 6, 2025

Developed by the Google Brain Team, TensorFlow is an open-source deep learning framework that helps machine learning engineers and data scientists build models and deploy applications easily. Check out this solved project to learn How to Build an OCR from scratch ?

Project 45

Project Deep Learning Datasets Machine Learning 45

ProjectPro

JUNE 6, 2025

This groundbreaking technique augments existing datasets and ensures the protection of sensitive information, making it a vital tool in industries ranging from healthcare and finance to autonomous vehicles and beyond. It covers various methods, from theoretical to deep learning approaches, and provides practical Python examples.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

TensorFlow & PyTorch: Deep learning frameworks. They are used in spam filtering, medical diagnosis, and risk assessment. Deep Learning, Image Recognition, Speech Processing. Requires large datasets and high computational power. Models where the number of parameters grows with the dataset.

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

Computer vision scientists get to work at research labs spending time with cutting edge deep learning algorithms and state of the art architectures. Considerable research and novel innovation are happening in computer vision using state of the art machine learning techniques like Deep Learning, CNN, Tensorflow, Pytorch, etc.

Engineering 68

Engineering Deep Learning Machine Learning Algorithm 68

ProjectPro

JUNE 6, 2025

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. Here is a Music Recommender System Project for you to start learning.

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. You can use the Huge Stock Market Dataset or the NY Stock Exchange Dataset to implement this machine learning for finance project. To start this machine learning project , download the Credit Risk Dataset.

Finance 75

Finance Machine Learning Project Banking 75

ProjectPro

JUNE 6, 2025

1) Predicting Sales of BigMart Stores 2) Insurance Claims Severity Prediction Learning Probability and Statistics for Machine Learning Whenever we work on a project that uses a machine-learning algorithm, there are two significant steps involved. The three most common distributions are Gaussian (or Normal).

Machine Learning 74

Machine Learning Insurance Algorithm Deep Learning 74

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

JUNE 6, 2025

Sample Dataset: Amazon Fine Food Reviews - Contains over 500,000 reviews with text suitable for summarization projects. Fine-tuning models on custom datasets improves accuracy for specific applications. You can use various deep learning models like RNNs, LSTM, Bi LSTMs, Encoder-and-decode r for the implementation of this project.

Coding 49

Coding Project Building Medical 49

ProjectPro

JUNE 6, 2025

Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. for developing these kinds of projects.

Machine Learning 69

Machine Learning Project Datasets Algorithm 69

ProjectPro

JUNE 6, 2025

The latter, in the case of machine learning , always means numeric data Using NLTK, we can build natural language models for text classification, clustering, and similarity and generate word embeddings to train deep learning models in Keras or PyTorch for more complex natural language processing problems like text generation.

Building 66

Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

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 49

Coding Python Process Project 49

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 Insurance 98

ProjectPro

JUNE 6, 2025

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 40

Data Science Medical Machine Learning Retail 40

ProjectPro

JUNE 6, 2025

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 64

Algorithm Medical Datasets Python 64

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

JUNE 6, 2025

Consider a healthcare organization developing an AI-powered diagnostic tool using Amazon Comprehend Medical. By leveraging pre-trained ML models and APIs, they streamline the extraction of critical medical information from unstructured text, allowing doctors to focus on accurate diagnoses.

Machine Learning 40

Machine Learning AWS Amazon Web Services Deep Learning 40

ProjectPro

JUNE 6, 2025

The system connected to electronic health records and multiple medical databases, leading to impressive results: a 30% reduction in misdiagnoses for complex cases, a 25% decrease in the time doctors spent reviewing literature, and a 40% increase in early detection of rare diseases. Tools like IBM Watson Health exemplify this application.

Medical 40

Medical Electronics Healthcare Metadata 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

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

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. load training metadata dataset = PatchDataset ( slides_specs = slides_specs ) train_loader = DataLoader ( dataset ) trainer = pl. width , spec.

Medical 61

Medical Process Cloud Bytes 61

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 Healthcare 122

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