CUPED for starters: Enhancing controlled experiments with pre-experiment data
CUPED: Improve Your A/B Testing – Detect Smaller Gains, Utilise Smaller Samples and Make Smarter Decisions!
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Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Using AI technologies for effective document processing
Ever-growing volumes of unstructured data stored in countless document formats significantly complicate data processing and timely access to relevant information for organizations. Without proper optimization of data management workflows, it’s difficult to talk about business growth and scaling. That is why progressive companies opt for intelligent document processing powered by artificial intelligence.
Understanding the future of smart cities through data science
Learn about the challenges of data privacy and security, and the potential of smart technologies in creating efficient, livable urban environments.
How can Data Scientists use ChatGPT for developing Machine Learning Models?
Introduction Data Science is a vast field that incorporates several processes. From problem definition to data collection and data cleaning to data visualization, a lot… Read More »How can Data Scientists use ChatGPT for developing Machine Learning Models?
The Rise of the Dual Data Scientist / Machine Learning Engineer
There are thousands of articles explaining the differences between data scientist and machine learning engineer. Data science gets broken down even further, with data analysts… Read More »The Rise of the Dual Data Scientist / Machine Learning Engineer
Understanding license plate recognition with the CCPD computer vision datasets
In various fields, such as traffic management, law enforcement, and parking management, license plate recognition is a crucial application of computer vision that is used… Read More »Understanding license plate recognition with the CCPD computer vision datasets
Innovations in predictive analytics: ML and generative AI
With the introduction of ChatGPT-3 and DALL-E2, the majority of investors started showing interest in businesses building generative AI. Moreover, the fact is generative AI… Read More »Innovations in predictive analytics: ML and generative AI
Difference Between Modern and Traditional Data Quality – DQLabs
Modern data quality practices make use of new technology, automation, and machine learning to handle a variety of data sources, ensure real-time processing, and stimulate… Read More »Difference Between Modern and Traditional Data Quality – DQLabs
How much coding is needed in a data science career?
The most common question in people’s minds that are not from a technical background is how much coding is required to ace a data science… Read More »How much coding is needed in a data science career?
Data modeling techniques in modern data warehouse
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for… Read More »Data modeling techniques in modern data warehouse