Pinterest Engineering

MAY 25, 2023

skin tone ranges in beauty, cuisine type in food), business-specific dimensions (e.g., Triggering logic : A real-world system may receive requests that span a wide range of categories, such as fashion, beauty, home decor, food, travel, etc. age, gender), geographic or cultural attributes (e.g., embedding, clustering). of a given size

Utilities 96

Utilities Food Machine Learning Algorithm 96

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. 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.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. Agencies choose a certain pricing by looking at data about the policyholder, statistics of incident occurrence in similar circumstances, etc.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

APRIL 23, 2024

This offers insightful data on consumer behavior and preferences, facilitating strategic decision-making and customer-focused tactics. Real-time Customer Data Analysis for Personalized Interactions: Big data analytics provides real-time customer data analysis, enabling businesses to personalize consumer interactions right away.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

MAY 2, 2024

Reusability: Spark code once written for batch processing jobs can also be utilized for writing processed on Stream processing and it can be used to join historical batch data and stream data on the fly. MLlib interoperates with Python’s math/numerical analysis library NumPy and also with R’s libraries.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Knowledge Hut

APRIL 25, 2024

It is the right time to skill yourself in spatial data science cases, applications, and various elements. This article gives overview of spatial data science’s elements, use cases, types of spatial data analysis, and it’s application. The Data Science market is growing so does job opportunities.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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. Finally, additional data analysis can be performed such as evaluating model convergence by inspecting the context-specific arm entropy.

Algorithm 67

Algorithm Machine Learning Datasets Food 67

ProjectPro

DECEMBER 10, 2021

Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Such data can be used to make predictions for the future.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Machine Learning Datasets 52

Knowledge Hut

FEBRUARY 11, 2023

Skills required- Basic HTML and CSS Good understanding of search engine algorithms Fair knowledge of SEO tools Content writing Analytical mindset Troubleshooting Excellence in Google site mapping Career Growth opportunities- SEO has remained a methodology to rank a website higher in search engine rankings and bring organic traffic.

Media 52

Media Food Recruitment Hospitality 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Developing such ML projects requires an in-depth understanding of image clustering, classification , computer graphics, and data analysis. Text Processing b. Text Sequencing c.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

AltexSoft

MARCH 28, 2022

Another selling point is availability of a kitchen that enables guests to save money on food. When working with Key Data, our data science team used a content-based filtering algorithm to set side by side key KPIs of properties on a regional basis. Sentiment analysis: What to improve to make your guests happier?

Hospitality 52

Hospitality Business Intelligence Machine Learning Datasets 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

Knowledge Hut

OCTOBER 24, 2023

Businesses need them regularly to understand market trends, competitor and customer behavior to get actionable insights from the huge volumes of data they collect. The reason is, visualizing complex algorithms is a lot easier to understand than numerical outputs. Here are some cool data visualization projects. Enroll now!

Project 52

Project BI Datasets Big Data 52

ProjectPro

JULY 15, 2021

You shall also use digital signatures and data encryption algorithms, such as Advanced Encryption Standard (AES), in the system. Also, food delivery apps, such as Zomato, have implemented chatbots to provide instant customer questions. Data security and cloud computing are the areas focussed on this project.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

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. Coke vending machine is a real-world application of AWS Lambda and SNS.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

MARCH 19, 2024

Technological Impact: Implemented machine learning algorithms to analyze historical data and predict potential issues, enabling proactive maintenance. Enhanced decision-making by providing actionable insights derived from real-time data analysis. Achieved cost savings by leveraging the pay-as-you-go model of AWS services.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

ProjectPro

APRIL 27, 2015

These big data solutions would help in recording the unstructured data generated from the video streams for executing pattern matching algorithms-to find out any happenings depending on various pre-defined set of parameters.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

JANUARY 22, 2016

Food industry is adopting big data technology and big data analytics to stay competitive by understanding customer preferences and tastes. People have pretty high expectations for food especially when they are ordering it from a restaurant.

Food 40

Food Big Data Data Analytics Data Analysis 40

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. Thus, the boosting algorithm combines several weak learners to form a strong learner. There are different kinds of boosting algorithms, and the more popular ones are XGBoost and AdaBoost.

Machine Learning 52

Machine Learning Data Science Datasets Python 52