LinkedIn Engineering

DECEMBER 20, 2023

A key part of this work is our content abuse defense systems, which function behind the scenes to help detect and remove policy-violating content from the platform, while helping surface professional, relevant, and meaningful content that adds value to the member experience. What is AutoML?

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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Datasets Metadata Algorithm Architecture 89

LinkedIn Engineering

DECEMBER 20, 2023

By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys. Let’s look into the critical modules that are needed to build this type of system.

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Building Algorithm Kafka Machine Learning 91

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Spark is a fast and general-purpose cluster computing system.

Big Data 98

Big Data Technology NoSQL Hadoop 98

U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. Applications Technology Giants Advertising Firms Handwritten Digit Recognition Artificial neural networks are used to build a system that correctly decodes handwritten numbers.

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Project Medical Banking Healthcare 96

Netflix Tech

NOVEMBER 24, 2023

The Causal Framework Thanks to our Artwork Personalization System and vision algorithms (some of which are exemplified here ), we have a rich dataset of promotional artwork components and user engagement data to build a causal framework. We use machine learning algorithms to predict whether or not the artwork contains a face.

Machine Learning 80

Machine Learning Algorithm Datasets Metadata 80

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? AI lets machines analyze information, learn from data, and even make decisions.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Rockset

MARCH 18, 2024

In this blog, we’ll discuss how RAG fits into the paradigm of real-time data processing and show an example product recommendation application using both Kafka and Flink on Confluent Cloud together with Rockset. Indexing vectors: Indexing algorithms can help to search across billions of vectors quickly and efficiently.

Cloud 64

Cloud Building Metadata Kafka 64

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.

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Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. These systems and methods can be applied to massive amounts of data.

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Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

RandomTrees

DECEMBER 12, 2023

It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. A computer vision system uses visual inputs and digital images to derive meaningful information before taking action. Additionally, providing DevOps teams with datasets to test and confirm software.

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Datasets Deep Learning Healthcare Algorithm 52

RandomTrees

APRIL 29, 2024

Advanced AI algorithms combined with big data analytics have revolutionized the way researchers model complex scenarios and optimize vehicle performance. By using machine learning algorithms, automotive engineers can analyze massive datasets generated from vehicle sensors, test fleets, and simulated environments.

Transportation 52

Transportation Manufacturing Algorithm Machine Learning 52

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. In this case, thousands of fashion Pins¹ publicly available on Pinterest are gathered to serve as the raw dataset. To explore and apply to open roles, visit our Careers page.

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Building Pipeline-centric Machine Learning Datasets 85

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. This data can be retrieved from anything – books, blogs, pictures or images. Gen AI models can give biased results as they are trained on massive datasets.

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Pharmaceutical Manufacturing Datasets Algorithm 52

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. Such a system would include features like: Developing an application to manage patient records.

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Computer Science Coding Project Hospitality 111

Cloudera

SEPTEMBER 15, 2021

The edge is a critical component of many digital transformation implementations, and particularly IoT deployments, for three main reasons — immediacy, fast-changing datasets and scalability. ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud.

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Medical Retail Datasets Algorithm 117

Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one.

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Software Engineer Software Engineering Machine Learning Engineering 52

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. Machine learning is a concept that merges with AI technology, helping computers to learn from existing datasets. They must be able to gauge a system’s performance based on statistical analysis.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. We need each dataset to store the last N events for a user.

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Lambda Architecture Datasets Software Engineer Software Engineering 65

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Data Scientist A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights from data. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Towards Data Science

DECEMBER 1, 2023

Embeddings are used in many applications like search engines, recommendation systems, and chatbots. The standard way to evaluate ANN indexes is to use a static workload benchmark , which consists of a fixed dataset and a fixed query set. Many vector databases are now measuring their performance using this approach in their tech blogs.

Database 52

Database Algorithm Datasets Kafka 52

Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. An algorithm design cheat sheet is a useful tool for engineers and machine learning specialists to prepare for managing algorithm design chores. Scikit offers a large selection of machine-learning algorithms.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Knowledge Hut

OCTOBER 26, 2023

In this blog, we'll explore a curated selection of beginner-friendly machine learning projects that will not only help you grasp the fundamentals but also inspire your passion for this ever-evolving technology. AI was once compared to the discovery of fire, a discovery that changed the human race forever.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Picnic Engineering

JANUARY 9, 2024

To do this we couldn’t do without recommender systems. Recommender systems are used in many places within Picnic. However, recommendations aren’t just about algorithms; it’s about helping our customers save time, find the right things, and curate the shopping experience they deserve. Ok, that’s a bit of a mouthful.

Machine Learning 91

Machine Learning Datasets Algorithm Systems 91

Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Understanding conditional probability is crucial in various fields, aiding in decision-making, statistical analysis, and machine learning, where it plays a pivotal role in algorithms like Naive Bayes.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

RandomTrees

JANUARY 22, 2024

It is speeding up research, streamlining procedures, and providing a new, in-depth understanding of the intricate workings of biological systems. Accelerating Drug Discovery Gen AI is changing the drug development process by using advanced algorithms to quickly and accurately identify potential drugs from large datasets.

Medical 52

Medical Healthcare Datasets Electronics 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

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Database-centric Data Science Machine Learning Datasets 52

U-Next

JUNE 27, 2023

In this blog, we will explore concepts like ‘Intelligent Tutoring Systems’ and how AI is playing a key role in this field. This can be understood better by looking at the following dataset from the ‘RIID Answer Correctness Prediction’ competition hosted by Kaggle. The dataset contained two artifacts – Content and Topic.

Education 52

Education Algorithm Datasets Machine Learning 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

RandomTrees

FEBRUARY 2, 2024

It creates summaries of large datasets and identifies anomalies in data. It supports keyword search in any type of document, such as a web page, PDF, email, or any other format. Generate: Cohere creates product descriptions, blog entries, and marketing materials. It uses GPT’s understanding of data structures and algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Databand.ai

AUGUST 30, 2023

Data validation involves checking data for errors, inconsistencies, and inaccuracies, often using predefined rules or algorithms. There are several factors that can impact data integrity, including human error, system failures, and deliberate tampering. There are various ways to ensure data accuracy.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

AltexSoft

AUGUST 25, 2021

Besides simply looking for email addresses associated with spam, these systems notice slight indications of spam emails, like bad grammar and spelling, urgency, financial language, and so on. Such dialog systems are the hardest to pull off and are considered an unsolved problem in NLP. Language detection. Question answering.

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Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

NOVEMBER 20, 2023

In this blog, I'll go into the interesting world of AI fraud detection, looking at how it works, its applications, benefits, and drawbacks. In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions.

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Insurance Banking Machine Learning Algorithm 52

Data Engineering Weekly

JANUARY 21, 2024

A thorough quickstart guide, created in partnership with Snowflake, is available, complete with a sample dataset so you can test-drive the tool. link] Teads: Unit testing with dbt Teads' blog post discusses unit testing with dbt, highlighting its advantages and limitations, especially regarding macros.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

LinkedIn Engineering

DECEMBER 12, 2023

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. Hence, differential privacy provides uncertainty for whether or not an individual data record is in the dataset.

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Algorithm Metadata SQL Datasets 77