Big Data

Big Data, Big Models: How to Train and Optimize Large Scale Sparse Models

Introduction Big data has become an integral part of modern business and research, with vast amounts of information being collected, analyzed, and stored every day. With the increasing volume of data, the need for more powerful models to analyze it has also grown. However, training large scale models can be a challenging task, especially when …

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Data Leakage is a Serious Concern in The Field of Data Science

Data leakage is a serious concern in the field of data science, as it can compromise the integrity and reliability of data analysis and machine learning models. Data leakage occurs when information from the testing or training data is inadvertently included in the model, leading to overoptimistic performance estimates and poor generalization to new data. …

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Why Becoming a Data-Driven Organization is Challenging

Becoming a data-driven organization is a goal for many companies, as it can help drive business decisions, improve efficiency, and gain a competitive edge. However, achieving this goal can be difficult for several reasons. One of the biggest challenges of becoming a data-driven organization is the significant investment in technology and infrastructure that is required. …

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