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

MARCH 29, 2024

One of the most important steps in joining one of the world’s most inventive tech businesses is the Apple software engineer interview process. You need to consider all the above points to qualify for the Apple software engineer interview process. To succeed in this interview, you must be unique.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 86

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. If greater than one, records in files are processed in parallel. Shuffle Algorithm Another challenge with Avro is that Avro blocks do not track the offsets of each Avro object in the block.

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Datasets Bytes Process Data Ingestion 102

ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing.

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

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.

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Machine Learning Algorithm Datasets Project 72

Knowledge Hut

MARCH 13, 2024

If you aspire to be a software engineer, you must follow a specific strategy and understand the Google software engineer interview process to land your dream job. While Google’s hiring process is similar to other companies, it requires careful consideration. I consider it to be the most competitive step in the process.

Software Engineer 52

Software Engineer Software Engineering Process Engineering 52

Edureka

AUGUST 2, 2023

Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis? What Does a Data Processing Analyst Do? What does a Data Processing Analysts do ?

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Data Process Process Data Cleanse Data Mining 52

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. What is Natural Language Processing? Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech.

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Process Deep Learning Datasets Machine Learning 139

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

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Python Process Deep Learning Algorithm 98

ProjectPro

FEBRUARY 21, 2023

By 2029, the global image processing market will likely reach USD 151,632.6 Image processing is a technique used to modify or enhance an image or extract relevant details from it. Python is a popular choice for such image-processing applications because of its ease of use, simplicity, and a vast array of image-processing libraries.

Data Science 52

Data Science Python Process Algorithm 52

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. Get to know more about measures of dispersion through our blogs. Big data frameworks are instruments that simplify the processing of big data.

Data Process 52

Data Process Process Hadoop Scala 52

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

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Process Kafka Scala SQL 90

Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

Data Integration 52

Data Integration Process Data Validation Data Governance 52

Picnic Engineering

OCTOBER 14, 2024

This so-called Master Planning Process (MPP) represents the planning of the Picnic supply chain path for every ordered article from the Fulfilment Centre to the customer’s door. Combinatorial optimisation is the process of trying to find the optimal solution given a set of finite possibilities. What is combinatorial optimisation?

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Algorithm Datasets Java Coding 75

Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. This minor version upgrade process took approximately one year.

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AWS Hadoop Management Algorithm 52

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. Here we shall discuss all the essentials around data labelling.

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

The Pragmatic Engineer

JUNE 1, 2023

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Serving a web page.

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Education Project PostgreSQL Software Engineering 363

phData: Data Engineering

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Efficiency through being able to streamline data storage and retrieval processes.

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Data Lake Process Metadata Data Warehouse 52

Snowflake

AUGUST 7, 2024

As we describe in this blog post , the top-k feature uses runtime information — namely, the current contents of the top-k elements — to skip micro-partitions where we can guarantee that they won’t contribute to the overall result. Snowflake starts processing those partitions first. on average, with some queries also reaching up to 99.8%

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Metadata Algorithm Utilities Process 61

ProjectPro

JULY 9, 2021

With the help of natural language processing (NLP) tools, it has led to the development of exciting artificial intelligence applications like language recognition, autonomous vehicles, and computer vision robots, to name a few. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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Deep Learning Algorithm Machine Learning Datasets 40

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.

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Process Coding Python Deep Learning 112

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. How long does it take to learn PySpark?

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Christophe Blefari

MARCH 22, 2024

Usually all the process takes me a whole Friday. The process works well, but as you can see, because I use fresh news, it's just-in-time. ❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays.

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Electronics Media Data Python 130

Data Engineering Weekly

SEPTEMBER 8, 2024

The blog, like the previous one, explores the role of Gen AI in the publishing industry. link] Sebastian Raschka: New LLM Pre-training and Post-training Paradigms The previous two blogs show a glimpse of the next wave in Gen-AI: the ability to train internal business/ content with LLM and its business impact.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Christophe Blefari

APRIL 19, 2024

Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). This is super interesting because it details important steps of the generative process. — A great blog to answer a great question.

MySQL 130

MySQL Data Datasets SQL 130

Tweag

APRIL 19, 2023

Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. import pandas as pd import PIL.

Medical 60

Medical Process Cloud Bytes 60

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. The Mantis query language allowed us to set the percentage of replay traffic to process.

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Algorithm Metadata Kafka Systems 138

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. The ML process begins with the collection of data from various sources. If you want to learn more about that, check out the blog.) What is Machine Learning in Healthcare?

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Hospitality Healthcare Machine Learning Algorithm 52

Cloudera

NOVEMBER 4, 2024

We created our “Document Analysis with Command R and FAISS” AMP to make that process even easier. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. This project brings together several exciting new themes to Cloudera’s AMP library, especially in terms of RAG.

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Unstructured Data Architecture Algorithm Machine Learning 74

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera is investing and innovating with Apache Flink for stream processing and analytics.

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Process Kafka Government Big Data 71

Edureka

OCTOBER 17, 2024

The secret to this lies in the reconciliation process that React has. This process is made to make sure that the UI remains engaged and only the part or component that needs to be updated is updated, hence making the entire process faster and easier. This is done through the diffing algorithm.

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Algorithm Process Management IT 40

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Till then, pick a topic from this blog and get started on your next great computer science project. designing an algorithm to improve the efficiency of hospital processes. Source Code: Weather Forecast App 3.

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Computer Science Coding Project Hospitality 111

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Step 2: Using graph algorithms to recommend potential friends.

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Kafka Process Algorithm Cloud 55

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Snowflake

AUGUST 7, 2024

As we describe in this blog post , the top-k feature uses runtime information — namely, the current contents of the top-k elements — to skip micro-partitions where we can guarantee that they won’t contribute to the overall result. Snowflake starts processing those partitions first. on average, with some queries also reaching up to 99.8%

Metadata 52

Metadata Algorithm Utilities Architecture 52

Knowledge Hut

APRIL 26, 2024

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98