Linear Model for Optimization is concerned with finding a suitable model. One of the goals is to reduce generalization errors.

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely…

In this article, we will learn about various applications of data science that are used in the education industry.

Learn about the importance of environmental AI and its carbon impact in this comprehensive review.

Our weekly selection of must-read Editors’ Picks and original features

Time Series Forecasting using an LSTM version of RNN with PyTorch Forecasting and Torch Lightning

Creative AI is on the rise. In a matter of literally just seconds, this brand-new tool by the Meta Demo Lab transforms a static drawing to…

A look back at some exciting papers this year in the age of Big Data

Clear steps to create an organized notebook, including examples

Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.

Things that I regret not doing earlier in my data science career.

Discover the differences between ACID and BASE design philosophies - from strong consistency to eventual consistency. Find out which suits your project better!

Understand the CAP and PACELC theorems in distributed systems. Learn how to navigate tradeoffs between consistency, availability, and partition tolerance for optimal system design.

Discover the crucial Architecturally Significant Requirements (ASR) for distributed systems, including Availability, Durability, Resiliency, Reliability, and Scalability. Learn how these factors impact system design and performance.

Caching... There is so much in that word - the pain of invalidation and the joy of reusing computation. In Spark, this is known as an optimization technique

Machine Learning is based on the idea that analytic systems can learn to identify patterns and make decisions with minimal human involvement

So much hype around serverless architectures but what it's really bringing to the table for us? Is it the next standard in application development?

Learn more about Glow, the open-source toolkit for genomics data analytics that scales to population levels and the testing and benchmarking that shows it is up to 10x faster than competitors.

Learn how to use Ray on the Databricks Lakehouse Platform for reinforcement learning and with custom distributed Python pipeline new use cases and optimizations.

There are many pitfalls that inexperienced engineers may encounter when building pipelines based on Cloud Dataproc, let's look into them.