Machine Learning Algorithms
Big Data
Technologies
Data & AI
at LinkedIn
Natural Language Processing
Data Ethics
and Privacy
100

This algorithm is often used for classification and works by finding the hyperplane that best separates the classes.

What is Support Vector Machine (SVM)

100

This open-source framework is widely used for distributed storage and processing of large datasets.

What is Apache Hadoop

100

LinkedIn's AI-powered feature that recommends jobs to users based on their profile and activity.

What is Jobs You May Be Interested In

100

This type of NLP task involves determining the sentiment expressed in a piece of text.

What is sentiment analysis

100

This regulation is designed to protect the personal data and privacy of EU citizens.

What is GDPR (General Data Protection Regulation)

200

This type of neural network is commonly used for processing sequential data such as time series or natural language.

What is a Recurrent Neural Network (RNN)

200

This distributed processing system is often used for big data analytics and can handle real-time data.

What is Apache Spark

200

This LinkedIn tool uses AI to help recruiters find the best candidates for their job postings.

What is LinkedIn Recruiter

200

This NLP technique involves translating text from one language to another.

What is machine translation

200

This principle in data ethics emphasizes transparency in how data is collected, used, and shared.

What is transparency

300

This ensemble learning method combines the predictions of multiple decision trees to improve accuracy.

What is Random Forest

300

This data storage technology is designed to store vast amounts of data across many commodity servers.

What is a Data Lake

300

The LinkedIn AI model that helps users build better professional networks by suggesting people to connect with.

What is People You May Know

300

This is a type of recurrent neural network architecture particularly well-suited for sequence-to-sequence tasks.

What is Long Short-Term Memory (LSTM)

300

This concept involves ensuring that data analytics and AI systems do not perpetuate bias or discrimination.

What is fairness in AI

400

This algorithm is used for clustering and aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean.

What is k-means clustering

400

This type of database is optimized for fast retrieval of large volumes of data and is often used in big data applications.

What is NoSQL

400

This feature uses machine learning to provide personalized content in a user’s feed.

What is the LinkedIn Feed

400

This model architecture is known for its ability to generate human-like text and is used in many AI chatbots.

What is the Transformer model

400

This type of data anonymization technique involves altering data to prevent the identification of individuals.

What is data masking

500

This type of learning algorithm does not rely on labeled data and instead tries to learn the structure or distribution of the data.

What is unsupervised learning

500

This distributed message processing system is designed for scalability and fault-tolerance and is commonly used in data pipelines.

What is Apache Kafka

500

LinkedIn’s initiative focused on ensuring fairness and accountability in AI systems.

What is LinkedIn's Responsible AI initiative

500

This process involves breaking down text into its component words or terms.

What is tokenization

500

This framework provides guidelines for the ethical use of AI, focusing on principles like accountability, transparency, and fairness.

What is the AI Ethics Framework