Team Data Science

FEBRUARY 23, 2021

Going further, when a restaurant creates a digital channel for its customers to order food online, it is not only digitizing information. It did that by implementing a recommender system based on machine learning. It is making use of digital technology to extend the business model to a different audience and way of working.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

DoorDash Engineering

JANUARY 4, 2023

Essentially, people eat with their eyes and images can tell them a lot about the food’s cuisine, type of restaurant, quality of food, nutritional information, price range, and more. To introduce exploration, we used a multi-arm bandit algorithm to implement the Image EnE model.

Machine Learning 52

Machine Learning Food Algorithm Building 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

MAY 3, 2024

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Additional libraries, built atop the core, allow diverse workloads for streaming, SQL, and machine learning. MyFitnessPal: MyFitnessPal needed to deliver a new feature called “Verified Foods.”

Hadoop 98

Hadoop Scala Healthcare Big Data 98

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. One can train machine learning models to detect and report such anomalies retrospectively or in real-time.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

RandomTrees

DECEMBER 4, 2024

As one of the most important sectors of the global economy, the food and beverage (F&B) industry works in highly volatile conditions and ensures its success by reducing waste and managing inventories. In addition, food wastage is still a burning issue worldwide, and the food and beverage industry accounts for a considerable portion of it.

Food 52

Food Management Manufacturing Machine Learning 52

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Google has an entire division devoted to AI and Machine Learning: Google Brain. Average Salary per annum: INR 34.2

Data Science 98

Data Science Machine Learning Consulting Data Mining 98

DoorDash Engineering

FEBRUARY 15, 2023

The process usually starts with first identifying a product that we could improve by using Machine Learning. Scoping out the business problem: optimizing food prep times Before our ML development journey starts we have to scope out the business problem and try to identify an opportunity for improvement.

Food 73

Food Machine Learning Architecture Building 73

Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. Scikit-Learn is one of the most important Python libraries for building Machine Learning models.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Snowflake

OCTOBER 17, 2024

Predictive machine learning continues to be a cornerstone of data-driven decision-making. Recommendation engine : In this example, a global food truck company is looking to build a recommendation engine to power hundreds of food trucks to generate highly accurate, hyper-local menu recommendations.

Food 98

Food Medical Healthcare AWS 98

U-Next

SEPTEMBER 13, 2022

You will also learn top Machine Learning interview questions along the way! . The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. . Top Data Science & Machine Learning Interview Question .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Netflix Tech

SEPTEMBER 18, 2020

Outside of work, we share a love of good food and coffee, exchanging tips on making espresso. I took a role as a Research Staff Member at IBM Research, which served as a middle ground with a joint focus on real world applications, academic research, and even allowed me to teach a graduate Machine Learning course!

Data Science 92

Data Science Consulting Food Algorithm 92

LinkedIn Engineering

FEBRUARY 27, 2023

After working as a data scientist and AI engineer in Seoul, globetrotters Vasundhara and her husband decided to relocate to Dublin for a once-in-a-lifetime AI and machine learning (ML) opportunity at LinkedIn. Outside of work, Vasundhara enjoys food tourism and exploring new cultures during her travels.

Food 60

Food Recruitment Machine Learning Electronics 60

Pinterest Engineering

MAY 25, 2023

This is usually achieved via one or many Machine Learning (ML) models that generate score(s) for each item. skin tone ranges in beauty, cuisine type in food), business-specific dimensions (e.g., skin tone ranges in beauty, cuisine type in food), business-specific dimensions (e.g., These scores are then combined (e.g.

Utilities 97

Utilities Food Machine Learning Algorithm 97

Knowledge Hut

OCTOBER 27, 2023

In this article, we will be discussing 4 types of d ata Science Projects for resume that can strengthen your skills and enhance your resume: Data Cleaning Exploratory Data Analysis Data Visualization Machine Learning Data Cleaning A   data scientist,   most likely spend nearly 80% of their time cleaning data.

Data Science 96

Data Science Coding Project Datasets 96

Cloudera

MARCH 28, 2023

By analyzing a patient’s genomic makeup using machine learning (ML) algorithms, healthcare providers can identify specific mutations or genetic markers that may indicate a particular treatment will be more effective than others. To learn more about how Cloudera supports Precision Health, join me in person at HIMSS23.

Healthcare 70

Healthcare Electronics Food Machine Learning 70

Knowledge Hut

NOVEMBER 28, 2023

We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision. Most of us look for open datasets for data science to work on machine learning projects.

Datasets 96

Datasets Data Science Project Machine Learning 96

Data Engineering Weekly

DECEMBER 18, 2023

The article discusses the design of PEDAL (Privacy Enhanced Data Analytics Layer), a mid-tier service between applications and backend services like Pinot, to implement differential privacy, including differentially private algorithms, a metadata store, and a privacy loss tracker.

Data Engineer 69

Data Engineer Data Engineering Engineering Food 69

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

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

Monte Carlo

AUGUST 31, 2023

The machine learning algorithm that determines how much weight or significance to assign to each feature is often romanticized as the secret sauce, but feature selection, engineering, and quality control is often just as, if not more, important to a successful deployment. This precludes more advanced algorithmic functionality.

SQL 64

SQL Data Science Machine Learning Algorithm 64

Data Engineering Weekly

AUGUST 13, 2023

Meta writes about mult—stage ranking approach with several well-defined stages, each focusing on different objectives and algorithms. link] Swiggy: Predicting Food Delivery Time at Cart Continue discussing the delivery time estimation problem, Swiggy writes about challenges in building a food delivery estimation service.

Data Engineer 52

Data Engineer Data Engineering Engineering Food 52

AltexSoft

MAY 12, 2021

And machine learning techniques hold the potential of speeding up tumor localization dramatically. Recent research demonstrates that machine learning models show better results in skin cancer classification than an average dermatologist. The most advanced AI algorithms achieved the accuracy of almost 97 percent.

Medical 72

Medical Healthcare Datasets Machine Learning 72

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.

Engineering 52

Engineering Deep Learning Software Engineering Programming Language 52

ProjectPro

SEPTEMBER 27, 2021

’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. Convert those images from RGB to Lab space and use Zhang et. using the OpenCV library.

Project 52

Project Deep Learning Algorithm Food 52

Knowledge Hut

JANUARY 18, 2024

It requires mathematical modeling, machine learning, and other advanced statistical methods to extract useful insights from raw data. Data scientists also work with artificial intelligence algorithms that automate product recommendations or fraud detection processes. Is Learning Data Science Worth It?

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Knowledge Hut

MAY 2, 2024

Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. Machine Learning: MLlib is a Machine Learning library of Spark. MLlib is the Apache Spark’s scalable machine learning library.

Scala 52

Scala Hospitality Machine Learning Healthcare 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. One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning.

Data Science 52

Data Science Medical Machine Learning Algorithm 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. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Lyft Engineering

MARCH 12, 2024

Those models have been critical for decision making problems that other techniques such as supervised learning or optimization models struggled with. Introduction Reinforcement Learning (RL) has shown great promise in research on challenging problems, from playing games to self-driving cars.

Algorithm 68

Algorithm Machine Learning Datasets Food 68

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. 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.

Portfolio 52

Portfolio Project Datasets Algorithm 52

AltexSoft

MAY 27, 2021

When it comes to processing documents in a new, smart way, the whole thing heavily relies on three cornerstones: machine learning, optical character recognition, and robotic process automation. that provides food and drink logistics services managed to automate their POD processing through IDP. That’s why the “brain” is needed.

Technology 64

Technology Process Insurance Medical 64

Pinterest Engineering

OCTOBER 12, 2022

Growing up, Pinterest was always my go-to social media platform, as it inspired me with new ideas for food, fashion, design, or anything creative! SCM is one of the Pinterest Shopping teams that is leveraging machine learning along with other data extraction techniques in order to advance Pinterest’s shopping capabilities.

Software Engineering 52

Software Engineering Software Engineer Engineering Recruitment 52

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. We consider these questions to be as important as the core algorithm itself, because without a clear answer to them, it's unlikely that your application will reach widespread adoption!

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

AltexSoft

JUNE 21, 2023

We also investigate predicting ADR through machine learning and strategies to enhance this KPI. 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. What is ADR?

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

AUGUST 16, 2021

Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. This basic analysis helps in realising important features of the dataset and saves time by assisting in selecting machine learning algorithms that one should use.

Data Mining 40

Data Mining Coding Project Datasets 40