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Data Structures and Algorithms (DSA) Projects with Source Code

Knowledge Hut

Data structures and algorithms are the building blocks of effective software in computer science and programming. We shall also discuss various data structures and algorithm projects with source code. What is an Algorithm? Software engineers need to understand algorithms to design dependable and effective code.

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Data Science in Agriculture: Roles, Application, Examples

Knowledge Hut

Food Safety Finally, Data Science is also playing a role in food safety. By analyzing food-borne illness data, agricultural scientists can identify risk factors and develop strategies for reducing the spread of disease-causing bacteria. This helps to protect consumers and ensure that food products are safe for consumption.

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Classification vs. Regression Algorithms in Machine Learning

ProjectPro

They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Yes, you are right. Regression. What is Classification?

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Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

DoorDash Engineering

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. One example is around delayed food prep times that increase Dasher wait times. When do restaurants start preparing food?

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Data News — Week 24.07

Christophe Blefari

ByteDance boximator, create motion on images — Boximator is a friendly method to instruct generative algorithms with boxes. Food for thoughts 🍱 What founders need to know to build a high-performing data team — Centralised, distributed or hybrid data team? ByteDance is the company behinds TikTok.

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Data Engineering Weekly #142

Data Engineering Weekly

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.

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Apache Spark Use Cases & Applications

Knowledge Hut

MLlib has multiple algorithms for Supervised and Unsupervised ML which can scale out on a cluster for classification, regression, clustering, collaborative filtering. Some of these algorithms are also applicable to streaming data. This is achieved through recommendation engines built on Machine learning algorithms and Spark MLlib.

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