AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. The most advanced AI algorithms achieved the accuracy of almost 97 percent. What is to be done to acquire a sufficient dataset?

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

NOVEMBER 18, 2021

Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent.

Data Science 52

Data Science Project Food Pharmaceutical 52

Towards Data Science

FEBRUARY 16, 2024

Image retrieved from: [link] Now, you are working for a food supply chain company whose clients are from the catering industry. The library uses algorithms like Levenshtein distance to quantify the degree of resemblance between strings, which is particularly useful for data containing typos or discrepancies.

Food 61

Food Data Ingestion Python Data Science 61

Cloudera

MARCH 28, 2023

How Data Drives Precision Healthcare One of the key advantages of precision healthcare is the ability to use large datasets to identify patients at a higher risk of developing a particular disease. We’ll be presenting a Lunch and Learn at the event and food will be provided. Indiana Ave.

Healthcare 70

Healthcare Electronics Food Machine Learning 70

U-Next

MARCH 12, 2023

Introduction The massive amounts of big data, the pace and scalability of cloud computing platforms, and the evolution of advanced machine learning algorithms have resulted in AI advances. The positive contribution of AI systems leads to better healthcare, education, and infrastructure.

Government 75

Government Algorithm Food Utilities 75

ProjectPro

AUGUST 25, 2021

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Knowledge Hut

MAY 1, 2024

Data C leaning: It deals with gathering the data and structuring it so that it becomes easy to pass this data as input to any machine learning algorithm. In addition to this, as a foundation, the basics and working of linear regression and classification algorithms must also be known to a data science aspirant.

Data Science 52

Data Science Algorithm Datasets Machine Learning 52

ProjectPro

DECEMBER 10, 2021

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 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. Usually, food order dropouts occur due to the shortage of drivers and the corresponding surge prices.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

DECEMBER 17, 2021

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

Data Science 52

Data Science Medical Machine Learning 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. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. Let the FOMO kick in!

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. You can train machine learning models can to identify such out-of-distribution anomalies from a much more complex dataset. The modeling follows from the data distribution learned by the statistical or neural model.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

Lyft Engineering

MARCH 12, 2024

Model The model’s action space covers four different news article categories: [“politics”, “sports”, “music”, “food”]. The exploration algorithm is epsilon greedy with 20% exploration. It considers two categorical context features, user and time of day , with two values each to make its recommendation.

Algorithm 68

Algorithm Machine Learning Datasets Food 68

Knowledge Hut

JUNE 16, 2023

New generative AI algorithms can deliver realistic text, graphics, music and other content. Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. between 2022 to 2030.

Engineering 52

Engineering Deep Learning Software Engineering Programming Language 52

ProjectPro

SEPTEMBER 27, 2021

Solution Approach: For arriving at the solution of this project, you can work with the ImageNet Dataset. ’s method of colouring images using a deep learning algorithm. Solution Approach: Creating such an application will require you to first train a deep learning algorithm like YOLOv4 with the images of different fruits.

Project 52

Project Deep Learning Algorithm Food 52

Workfall

FEBRUARY 28, 2023

The model is trained on a massive text dataset before being fine-tuned for specific tasks such as: Translation of a language Summarization of text Debugging code Answering questions, and so on. It is trained on a massive dataset of text from the internet, which includes books, articles, and websites.

Datasets 62

Datasets Coding Algorithm Technology 62

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Risk Management: By using big data to analyze a variety of datasets, risks associated with credit scoring, investment portfolios, and market volatility may be assessed and managed, assisting in the development of efficient risk reduction techniques.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

AUGUST 16, 2021

FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour. How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

OCTOBER 26, 2023

You can develop voice-enabled applications that can do different tasks like booking a hotel room, ordering food, or playing music. It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. This dataset can be downloaded in two formats: Parquet and TAV.

AWS 52

AWS Coding Project Cloud Computing 52

AltexSoft

MARCH 28, 2022

Another selling point is availability of a kitchen that enables guests to save money on food. Publicly available datasets. Airbnb instantly purchasable datasets. Before purchasing, you can preview a dataset to understand whether it meets your requirements. To stay at the legal side, choose out of the following options.

Hospitality 52

Hospitality Business Intelligence Machine Learning Datasets 52

AltexSoft

JUNE 21, 2023

ADR solely focuses on revenue from room sales, excluding other sources of income such as food and beverage, spa services, or event spaces, which can also significantly contribute to a hotel’s overall revenue. The initial algorithm was designed to predict ADRs across competitor hotels, furnishing a comparative market perspective.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

U-Next

SEPTEMBER 13, 2022

Fast food delivery through applications like Uber Eats, which show the delivery worker the quickest path to take from the restaurant, is the most prevalent real-time application. Especially when dealing with larger datasets, data analysis cannot be performed on the entire volume of data at once. Explain the term Data Science? .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Grouparoo

DECEMBER 7, 2021

Regulatory Data Where data supports regulatory compliance processes such as those that govern food or pharmaceutical manufacturing, data corruption will render the affected products unfit for use and require either additional testing to prove compliance or, more likely, their destruction.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

ProjectPro

JULY 23, 2021

Food Panda, a food delivery app, is another famous example that implements this. You can use AWS cloud with nearest neighbor algorithms to work on this project. It includes built-in algorithms that do not need label data. AWS combined with nearest neighbor algorithms will provide accurate results and recommendations.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

OCTOBER 24, 2023

The purpose of data visualization projects is to identify patterns, trends, and anomalies or deviations in large datasets/big data (the main data for visualization projects); that otherwise would have been impossible. The reason is, visualizing complex algorithms is a lot easier to understand than numerical outputs.

Project 52

Project BI Datasets Big Data 52

U-Next

OCTOBER 27, 2022

We will next show its range and trends to comprehend the dataset better. . “Starchy Foods” had the highest average sales percentage of 7.7%. . When we run it, our dataset with imputed values is available on the node’s output port, “Missing Value.” Visualization and Analysis .

Python 40

Python Building Programming Language Machine Learning 40

Knowledge Hut

APRIL 25, 2024

We apply Geospatial analytics techniques to gather insights from spatial datasets. Food production has soared, and environmental standards have improved with the help of geospatial data. Agriculture Geospatial technology is currently used to analyze soil data to determine which crops can grow in specific locations.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

Edureka

JULY 18, 2024

Customer Service Suppose you have created a closed-loop chatbot to track food orders. Contextual AI’s decision-making capabilities, while intended to be objective and unbiased, could inadvertently perpetuate or amplify societal biases if the training data or underlying algorithms are flawed.

Systems 40

Systems Retail Food Education 40

Monte Carlo

JANUARY 12, 2023

For Freshly, food isn’t the only thing that needs to be delivered fresh and fast; our data also needs to be reliable, timely, and most importantly, accurate. LookerML is a feature that allows you to control how certain datasets are joined and metrics are expressed. Editor’s Note: Nestle acquired Freshly in October 2020.

Architecture 52

Architecture Building Data Warehouse BI 52

Christophe Blefari

FEBRUARY 16, 2024

ByteDance boximator, create motion on images — Boximator is a friendly method to instruct generative algorithms with boxes. Introducing the column explorer in MotherDuck — A cool feature in MotherDuck (DuckDB in the cloud) to add sparklines and columns distributions when looking at a dataset. And it's for the better.

Food 130

Food Data SQL Government 130

AltexSoft

DECEMBER 15, 2021

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. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JUNE 16, 2021

Your mother might suggest reducing the quantity of food you eat, but make sure that you eat breakfast, lunch, and dinner. Even if the model provides good results on a particular dataset, we might see varied performance on other datasets. If a model does better on the dataset in general, we will give it a higher weight.

Machine Learning 52

Machine Learning Data Science Datasets Python 52