Knowledge Hut

JUNE 27, 2023

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.

Algorithm 52

Algorithm Coding Project Food 52

Knowledge Hut

JANUARY 3, 2024

In the field of artificial intelligence, the heuristic search algorithm known as "hill climbing" is employed to address optimization-related issues. The algorithm begins in a suboptimal state and incrementally improves it until a predetermined condition is satisfied. What is a Hill Climbing Algorithm?

Algorithm 52

Algorithm Machine Learning Data Science Portfolio 52

The Pragmatic Engineer

OCTOBER 17, 2024

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores. Tech stack.

Cloud 273

Cloud AWS Metadata Cloud Computing 273

ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in. That is, one instance can have multiple labels.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

WeCloudData

MARCH 20, 2024

Explore advanced algorithms like Uni-LSTM and BiLSTM for accurate forecasts, along with Google Maps' integration of deep learning for improved ETA accuracy. Discover the practical utility of machine learning in everyday life. The post Navigating your way: Traffic Prediction with Machine Learning appeared first on WeCloudData.

Machine Learning 97

Machine Learning Deep Learning Algorithm Utilities 97

Striim

JULY 23, 2024

Machine learning (ML) in healthcare is the transformative use of advanced algorithms and models to analyze and interpret massive amounts of data. Next, your team will select the right ML algorithms based on the specific problem you are looking to address. What is Machine Learning in Healthcare? Here’s how it works.

Hospitality 52

Hospitality Healthcare Machine Learning Algorithm 52

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Anomaly detection jobs benefit from machine learning algorithms' ability to process vast volumes of data and automatically identify patterns.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Striim

JULY 18, 2024

Emerging technology and the utilization of real-time data enable medical professionals to monitor a patient’s prognosis quickly and with minimal interruption. An inference model is a form of machine learning model that leverages algorithms to analyze data. From there, it can make predictions or decisions based on that information.

Healthcare 52

Healthcare Medical Hospitality Algorithm 52

Knowledge Hut

FEBRUARY 1, 2024

Movie recommender systems are intelligent algorithms that suggest movies for users to watch based on their previous viewing behavior & preferences. The heart of this system lies in the algorithm used in movie recommendation system. The heart of this system lies in the algorithm used in movie recommendation system.

Systems 98

Systems Entertainment Algorithm Datasets 98

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Striim

JUNE 4, 2024

In this blog, we’ll walk you through everything you need to know about utilizing advanced real-time ML to make better business decisions. Real-time ML analytics refers to the process of applying ML algorithms to data as it is created, enabling businesses to derive insights and make decisions in near real-time.

Machine Learning 52

Machine Learning Algorithm Healthcare Utilities 52

Engineering at Meta

NOVEMBER 12, 2024

Monitoring has given us a distinct advantage in our efforts to proactively detect and remove weak cryptographic algorithms and has assisted with our general change safety and reliability efforts. More generally, improved understanding helps us to make emergency algorithm migrations when a vulnerability of a primitive is discovered.

Algorithm 70

Algorithm Datasets Coding Java 70

Knowledge Hut

JULY 3, 2023

iv) Enhances Productivity - Project managers can help facilitate better team engagement by understanding models which help effective work breakdown and utilization of resources, thereby minimizing under-allocation as well as burnout of project resources.

Project 98

Project Management Algorithm Consulting 98

Knowledge Hut

JANUARY 18, 2024

To create prediction models, data scientists employ sophisticated machine learning algorithms. They set the team up for success by demonstrating how to utilize the system effectively to extract insights and drive action. The technique you use is determined by the problem you're trying to answer and the type of data you're utilizing.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

OCTOBER 26, 2023

The project will focus on creating a user-friendly interface as a web / Desktop application and incorporating robust algorithms to assess password strength accurately. Simple Malware Scanner Using Yara Source: joesecurity The project aims to create a simple malware scanner utilizing the Yara framework. Source code 2. Source code 3.

Coding 98

Coding Project Algorithm Utilities 98

RandomTrees

JUNE 17, 2024

This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibility of financial systems. Machine Learning Algorithms Machine learning is very much important in fraud detection.

Banking 52

Banking Deep Learning Finance Machine Learning 52

LinkedIn Engineering

DECEMBER 12, 2023

Differential Privacy To provide a way to safeguard the privacy of viewers while maintaining utility for post authors, we wanted to introduce differential privacy to these analytics. We say that an algorithm is differentially private if any result of the algorithm cannot depend too much on any single data record in a dataset.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Knowledge Hut

DECEMBER 22, 2023

Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. It is possible to generate pivot tables and charts and utilize Visual Basic for Applications (VBA). The majority of machine learning models may be written as matrices.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Snowflake

JUNE 27, 2024

Knowledge graphs present a digital model of an organization’s operations, surfacing patterns, relationships and connections that RelationalAI’s graph algorithms use to detect similarities and apply reasoning and business logic. These two algorithms are well-known for being resource intensive and time consuming.

Data Governance 107

Data Governance Algorithm Government Cloud 107

Knowledge Hut

MAY 30, 2024

Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. Machine Learning: Algorithms, Real-world Applications, and Research Directions Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work. Data Mining 12.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

Netflix Tech

JUNE 1, 2023

We used this simulation to help us surface problems of scale and validate our Ads algorithms. Replay traffic enabled us to test our new systems and algorithms at scale before launch, while also making the traffic as realistic as possible. Basic with ads was launched worldwide on November 3rd.

Algorithm 138

Algorithm Metadata Kafka Systems 138

Knowledge Hut

MARCH 29, 2024

Enter the Binary Heap, a powerful data structure used for everything from algorithms to priority queues. Binary heaps are especially handy for priority queue implementations, and they are widely utilized in algorithms like Dijkstra's shortest path method and the heap sort algorithm. These are a few typical uses.

Algorithm 52

Algorithm Utilities Hospitality Software Engineer 52

Striim

JULY 16, 2024

Your team can utilize predictive analytics to gain insights into when equipment is likely to fail, enabling proactive maintenance and mitigating the risk of unexpected issues. For instance, AI algorithms can predict flight delays, optimize crew assignments, or personalize customer services based on current data.

Pipeline-centric 52

Pipeline-centric Algorithm Transportation Data Integration 52

Knowledge Hut

MARCH 27, 2024

Because they enable us to store and retrieve data in a form that makes it simple to locate and utilize, data structures are crucial. Essential in programming for tasks like sorting, searching, and organizing data within algorithms. Representation: Typically utilizes SQL (Structured Query Language) for data storage and manipulation.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

FEBRUARY 1, 2024

Machine learning algorithms produce these suggestions. They utilize this information to learn more about their customers or build a platform to assist new ones. Data-driven optimisation algorithms coordinate the complex dance of logistics, delivery schedules, and cost economies. Thinking about Amazon and Netflix?

Data Science 96

Data Science Retail Algorithm Manufacturing 96

Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. Finally, organizations have flexibility and control over the model training process, including the choice of algorithms, hyperparameters and training data.

Manufacturing 86

Manufacturing Pharmaceutical Healthcare Algorithm 86

Edureka

JULY 16, 2024

With possibilities like managed notebooks, integrated ML algorithms, and auto-tuning of your models. Model Building: SageMaker allows users to build machine learning models using predefined algorithms, machine algorithms, or frameworks such as TensorFlow, PyTorch, and Apache MXNet.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

It has utility in all steps of creating software; thus, it is an essential topic for software engineers to learn and make a career out of. However, with the rise of blockchain technology and its utilization, industries are also witnessing the rising importance of specialized tools and techniques for developing blockchain-oriented software.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

Netflix Tech

JANUARY 25, 2023

An example for storing both time and space based data would be an ML algorithm that can identify characters in a frame and wants to store the following for a video In a particular frame (time) In some area in image (space) A character name (annotation data) Pic 1 : Editors requesting changes by drawing shapes like the blue circle shown above.

Algorithm 115

Algorithm Media Metadata Data Ingestion 115

Cloudera

NOVEMBER 4, 2024

It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also utilizes Cohere’s embed-english-v3.0 This project brings together several exciting new themes to Cloudera’s AMP library, especially in terms of RAG.

Unstructured Data 74

Unstructured Data Architecture Algorithm Machine Learning 74

Pinterest Engineering

OCTOBER 23, 2024

Apache YuniKorn was entirely stateless and only tracked instantaneous resource utilization across the cluster. Our algorithm prioritizes resource allocation to tier 1 and tier 2 queues up to a specified percentile threshold of the queue’s required resources.

AWS 52

AWS Hadoop Management Algorithm 52

Knowledge Hut

DECEMBER 29, 2023

Knowing which data to utilize, how to arrange the data, and so on is essential. The information is utilized for analysis and reporting, and it is made accessible to the higher-ups in the organization using relational databases. Machine learning applications need painstaking attention to detail in order to optimize an algorithm.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JUNE 25, 2024

Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. In this book, you will learn how to apply the most basic data science tools and algorithms from scratch. Analysis of basic Python operations and search algorithms.

Data Science 97

Data Science Python Hadoop Media 97

Knowledge Hut

MAY 3, 2024

Spark is utilized for Big data analytics and related processing. As Spark provides these multiple components, it’s evident that Spark is developed and widely utilized for big data and analytics. The feature demanded a faster pipeline to execute a number of highly sophisticated algorithms.

Scala 98

Scala Hadoop Healthcare Big Data 98

Cloudera

JUNE 11, 2024

This data often includes fields that are predefined, such as dates, credit card numbers, or customer names, which can be readily processed and queried by traditional database tools and algorithms. On the other hand, unstructured data lacks a predefined format or structure, making it more complex to manage and utilize.

Unstructured Data 92

Unstructured Data Pharmaceutical Banking Manufacturing 92

Precisely

OCTOBER 8, 2024

Data enrichment improves your AI/ML outcomes: boosting accuracy, performance, and utility across all applications throughout your business. Here’s a real-world cautionary tale from popular real estate platform, Zillow: the company made headlines after purchasing 9,680 homes in a single quarter – based on suggestions from its AI algorithm.

High Quality Data 52

High Quality Data Datasets Algorithm Portfolio 52

Striim

MARCH 11, 2024

It relies on data analytics, machine learning (ML) algorithms, and real-time monitoring to predict potential failures in aircraft components before they occur. Effective integration ensures that predictive algorithms receive comprehensive datasets for accurate analysis, minimizing the risk of unreliable results.

Algorithm 52

Algorithm Utilities Data Analytics Data Integration 52